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  • Springer Nature  (165)
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  • 1
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-05
    Description: This open access book provides the first comprehensive coverage of the wheat genome sequence since the publication of the draft and reference sequences for bread wheat and durum wheat. It presents an overview and all aspects of the gold standard sequence of the bread wheat genome, IWGSC RefSeq v1.0 and its subsequent improvements through 2022 (IWGSC RefSeq v2.1), as well as the sequencing of multiple elite wheat varieties, durum wheat, and ancient wheat. The book provides a broad and extensive review of the resources, tools, and methodologies available for exploiting the wheat genome sequence for crop improvement and studying fundamental questions related to the structure, function, and evolution of the wheat genome. Wheat (Tritcum aestivum L.) is the most widely grown crop in the world, contributing approximately 20 percent of total calories and more protein in human diets than any other single source. This book is useful to students, teachers, and scientists in academia and industry interested in gaining an understanding of the wheat genome and its application as well as plant scientists generally interested in polyploid plant species.
    Keywords: International Wheat Genome Sequencing Consortium ; polyploidy ; wheat genome sequence ; structural genomics ; functional genomics ; wheat evolution ; wheat improvement ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAK Genetics (non-medical) ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TC Biochemical engineering::TCB Biotechnology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry
    Language: English
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  • 2
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue includes 14 contributions, with 2 review contributions and 12 research contributions. The review contributions provide a survey with an overview of the state of the art in detecting and projecting cyber-attack scenarios, and the review of a specific application area, the safety of autonomous haulage systems in the mining environment related to both cybersecurity and communication. 10 research contributions are addressing the area of advanced services for intrusion detection systems: (a) the use of different machine learning models depending on the specific scenarios and datasets; (b) the use of deep learning techniques for the detection of zero-day attacks; (c) a proposal of an integrated scalable framework aimed at efficiently detecting anomalous events on large amounts of unlabeled data logs; (d) a spatiotemporal characterization of cyber-attacks for detecting such attacks; (e) a two-stage intrusion detection system for industrial control networks; (f) a chatbot for detecting online sex offenders, based on an artificial conversational entity (ACE); and (g) an open-source platform for manipulating both streaming and archived network flow data in real time. This Special Issue also contains two protection-related research contributions, including: (a) a countermeasure for on–off web defacement attacks and (b) the evaluation of multi-path routing as a protection feature against network attacks and failures.
    Keywords: cybersecurity ; machine learning ; intrusion detection ; cybersecurity awareness&nbsp ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 3
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2023, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, during April 22-27, 2023, in Paris, France. The 56 full papers and 6 short tool demonstration papers presented in this volume were carefully reviewed and selected from 169 submissions. The proceedings also contain 1 invited talk in full paper length, 13 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, flexibility, and efficiency of tools and algorithms for building computer-controlled systems.
    Keywords: Computer Science ; Informatics ; Conference Proceedings ; Research ; Applications ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Complex systems have long been an integral part of modern life and can be encountered everywhere. Undertaking a comprehensive study of such systems is a challenging problem, one which is impossible to solve without the use of contemporary mathematical modeling techniques. Mathematical models form the basis for the optimal design and control of complex systems. The present reprint contains all the articles accepted and published in the Special Issue of Mathematics entitled "Control, Optimization, and Mathematical Modeling of Complex Systems". This Special Issue is focused on recent theoretical and computational studies of complex systems modeling, control, and optimization. The topics addressed in this Special Issue cover a wide range of areas, including numerical simulation in physical, social, and life sciences; the modeling and analysis of complex systems based on mathematical methods and AI/ML approaches; control problems in robotics; design optimization of complex systems, modeling in economics and social sciences; stochastic models in physics and engineering; mathematical models in material science; and high-performance computing for mathematical modeling. It is our hope that the scientific results presented in this reprint will serve as valuable sources of documentation and inspiration to those seeking to delve into complex systems modeling, control, and optimization and examine their wide-ranging applications.
    Keywords: optimal control problem ; evolutionary computation ; robotics applications ; optimal control ; Lyapunov stability ; equilibrium point ; symbolic regression ; Pontryagin’s maximum principle ; continuous-time Markov chains ; ergodicity bounds ; discrete state space ; rate of convergence ; logarithmic norm ; interval analysis ; function approximation ; global optimization ; convexity evaluation ; overestimators ; underestimators ; machine learning control ; general synthesis problem ; evolutionary algorithm ; adaptive interpolation algorithm ; interval ordinary differential equations (ODEs) ; sparse grids ; hierarchical basis ; multidimensional interpolation ; high dimensions ; molecular dynamics modeling ; randomized maximum entropy estimation ; probability density functions ; Lagrange multipliers ; Lyapunov-type problems ; implicit function ; rotation of vector field ; asymptotic efficiency ; thermokarst lakes ; forecasting ; dynamical tracking target ; ship towing system ; relative curvature ; adaptive control ; discrete velocity method ; lattice Boltzmann method ; computational fluid dynamics ; mathematical modeling ; estimation ; minimax techniques ; pareto optimization ; regression analysis ; statistical uncertainty ; proton exchange membrane ; proton electrolyte membrane ; PEM ; fuel cell ; PEMFC ; power electronic converter ; DC–DC boost converter ; model predictive control ; MPC ; self-scalable robots ; modular robots ; origami structures ; complex system ; synergistic effect ; performance indicator ; structure change ; soft robotics ; continuum mechanisms ; modeling of complex systems ; kinematic model of soft robots ; mathematical modeling of complex systems ; non-linear models ; soft robotic neck ; tendon-driven actuators ; mathematical modelling ; modelling in economics ; impact of the COVID-19 ; logistics businesses ; fractional-order virus models ; stuxnet virus ; numerical computing ; supervisory control and data acquisition systems ; computer networks ; lyapunov analysis ; image segmentation ; remote sensing ; terrain identification ; data synthesis ; transfer learning ; controllability ; observability ; stochastic linear systems in finite and infinite dimensional spaces ; stochastic singular linear systems in finite and infinite dimensional spaces ; semigroup ; evolution operator ; GE-semigroup ; GE-evolution operator ; stochastic GE-evolution operator ; feature selection ; finite normal mixtures ; moving separation of mixtures ; deep LSTM ; neural network architectures ; deep learning ; turbulent plasma ; air–sea fluxes ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).
    Keywords: big data ; cloud computing ; scalable computing systems ; High-performance computing ; data analysis ; machine learning systems ; big data applications ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: At present, data is constantly generated across various industries, including the internet. New technologies have emerged to trace data origins and assess their potential for collection, quantification, decoding, and analysis. Big data, signals, and images are of particular importance due to the wealth of domain-specific information they hold. These data play a critical role in addressing issues like national security, cybersecurity, marketing, medical informatics, and fraud detection. Deep learning techniques have gained immense popularity. They empower the analysis and understanding of vast amounts of unsupervised data, making them invaluable for processing when raw data lack categorization and labels. These applications extend to working with medical images and signal processing for wellness devices, remote monitoring, and neural devices. In industrial settings, data can be used for early warning systems in assembly lines, while massive datasets can be derived from electronic health records and hospital information systems, for example. This reprint is dedicated to exploring the application of deep learning in tackling significant challenges related to big data, images, and signals. It seeks to unravel the potential of these cutting-edge technologies in addressing complex real-world problems across diverse sectors.
    Keywords: big data ; image processing ; deep learning ; signal processing ; digital era ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains all of the articles in the second edition of the Special Issue titled “Statistical Data Modeling and Machine Learning with Applications II”. This Special Issue belongs to the “Mathematics and Computer Science” Section and aims to publish research on the theory and application of statistical data modeling and machine learning. New mathematical methods and approaches, new algorithms and research frameworks, and their applications aimed at solving diverse and nontrivial practical problems are proposed and developed in this SI. We believe that the chosen papers are attractive and useful to the international scientific community and will contribute to further research in the field of statistical data modeling and machine learning.
    Keywords: forecasting model ; electricity energy consumption ; grey model ; artificial neural network ; machine learning ; rotation CART ensemble ; bagging ; boosting ; arcing ; simplified selective ensemble ; linear stacked model ; IoV ; xNN ; K-MEANS ; anomaly detection ; single-index models ; composite quantile regression ; SCAD ; Laplace error penalty (LEP) ; causality ; Bayesian networks ; scalability ; group lasso penalty ; data integration ; network estimation ; stability selection ; time series model ; wavelet transform ; neural network NARX ; ionospheric parameters ; gambling ; jackpot ; multidimensional integrals ; Monte Carlo methods ; lattice sequences ; digital sequences ; surface approximation ; surface segmentation ; surface denoising ; gaussian process latent variable model ; line geometry ; line elements ; regression ; classification ; prediction ; meteorological parameters ; traffic incidents ; multi-agent architecture ; air pollution ; random forest ; ARIMA errors ; MIMO averaging strategy ; multi-step ahead prediction ; unmeasured forecast ; Explainableartificial intelligence ; credit card frauds ; deep learning ; long short-term memory ; fraud classification ; lung cancer ; tumor ; CT image ; one-stage detector ; YOLO ; multi-scale ; receptive field ; data analysis ; decision trees ; LightGBM ; SHAP ; leisure time ; influencing factors ; time allocation ; neural networks ; cosmic rays ; space weather ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: As one of the fastest-growing topics in machine learning, deep learning algorithms have achieved unprecedented success in recent years. Novel paradigms (such as contrastive learning and few-shot learning) in deep learning and rising neural network architectures (e.g., transformer and masked autoencoder) are dramatically changing the field of data-driven algorithms. More importantly, deep learning models are redefining the next generation of industrial applications spanning image recognition, speech processing, language translation, healthcare, and other sciences. For example, recent advances in deep representation learning are allowing us to learn about protein 3D structures, which sheds new light on fundamental medicine and biology along with potentially bringing in billions of dollars (e.g., in the pharmaceutical market). This collection gathers the advanced studies of novel deep learning algorithms/frameworks and their applications in real-world scenarios. The topics cover, but are not limited to, supervised learning, explainable deep learning, finance, healthcare, and sciences.
    Keywords: Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing’s equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint covers new aspects of the recent developments in the theory and applications of fractional differential equations, including inclusions, inequalities, and systems of fractional differential equations with Riemann-Liouville derivatives, Caputo derivatives, or other generalized fractional derivatives, subject to various boundary conditions. The authors study the existence, uniqueness, multiplicity, and nonexistence of classical or mild solutions, the approximation of solutions, and the approximate controllability of mild solutions for diverse mathematical models.
    Keywords: piecewise constant function ; Mawhin’s continuation technique ; variable order ; resonance ; existence ; time-fractional damped wave inequalities ; bounded domain ; singularity ; nonexistence ; Riemann–Liouville fractional differential equations ; nonlocal boundary conditions ; singular functions ; positive solutions ; multiplicity ; coincidence degree theory ; four-point boundary value problem system ; at resonance ; fractional evolution systems ; approximate controllability ; Sobolev operator ; compactness ; Schauder fixed point theorem ; sequential fractional differential equations ; Caputo fractional derivative ; Riemann–Stieltjes integro-multipoint boundary conditions ; existence and uniqueness ; fixed point ; fractional calculus ; fractional differential equation ; boundary value problem ; Chebyshev polynomial ; collocation method ; impulsive fractional differential inclusions ; neutral differential inclusions ; mild solutions ; contractible sets ; Rδ-set ; boundary value problems ; fractional q-difference equations ; Caputo fractional q-difference derivative ; measure of noncompactness ; Mönch’s fixed point theorem ; nonlocal coupled boundary conditions ; positive parameters ; resolvent operator ; delay ; nonlocal conditions ; parameter ; fractional integro-differential equation ; Sturm–Liouville boundary condition ; variational method ; Hilfer fractional system ; neutral system ; multi-valued maps ; sectorial operators ; fractional Dzhrbashyan–Nersesyan derivative ; differential equation with fractional derivatives ; resolving family of operators ; perturbation theorem ; initial value problem ; initial-boundary value problem ; viscoelastic Oldroyd fluid ; q-calculus ; fractional q-integro-difference system ; solvability ; Riemann-Stieltjes q-integrals ; fixed point theorems ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Smart cities represent a great advance in terms of sustainability, energy efficiency and being able to respond to the needs of enterprises, institutions and inhabitants. In this sense, smart grids contribute to the development of smart cities in the field of electrical energy, including concepts such as renewable energies, distributed generation, energy efficiency and smart homes and automation. In order to be able to implement all the functionalities of smart grids, it is necessary to have real-time information about the different installations. In this sense, IoT plays a fundamental role in developing smart grids. Cloud computing, which integrates the data obtained via smart electrical meters, smart electrical power analyzers and other intelligent metering devices, contributes to the availability of the measured data in real time and provides intelligence to existing electrical networks. Wireless communication networks, especially LPWANs, allow the construction of devices with low energy consumption and high operating autonomy, which can be installed in different locations, even those that are difficult to access. The massive implantation of the electric vehicle implies the construction of charging stations. These stations must use renewable energy sources that contribute to saving fossil fuels, reducing CO2 and increasing the sustainability of electric mobility.
    Keywords: cloud computing ; smart electric meters ; smart power analyzers ; smart grids for smart cities ; smart home and automation ; monitoring and control renewable energy ; public lighting system ; distributed generation ; hybrid electric energy storage systems ; electric vehicle charging stations ; wireless technologies ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 11
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-08
    Description: This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
    Keywords: Artificial Intelligence Ethics ; African AI Ethics ; Responsible Use of Technology ; Computer Science Training ; Higher Education in Africa ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 12
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Rapid advances in modelling research have created new challenges and opportunities for statisticians. Statistical inference in observational studies and many other emerging fields have motivated statisticians worldwide to develop cutting-edge methods and analytical strategies. The aim of this reprint is to showcase the applications and methodological research in all fields of computational statistics. This reprint will provide a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, and simulation.
    Keywords: descriptive statistics ; inferential statistics ; species abundance data plots ; abundance models ; species richness indices ; diversity measures ; sampling ; community comparisons ; diversity in space (time) ; extreme value modeling ; epidemiology ; adaptive sampling ; trend analysis ; ecological modeling ; detection limit ; Pseudo Lindley distribution ; survival discretization method ; over dispersion ; moments ; simulation ; maximum likelihood estimation ; goodness-of-fit ; trigonometric distributions ; modified Lindley distribution ; engineering data ; climate data ; statistical analysis ; Burr III distribution ; stochastic ordering ; middle-censoring ; order statistics ; Teissier distribution ; unit Teissier distribution ; Lambert W function ; entropy ; extropy ; estimation ; compounding distributions ; Lindley distribution ; Lomax distribution ; stress strength model ; characterization ; Nadarajah–Haghighi distribution ; data analysis ; evaporation ; adaptive neuro fuzzy system ; firefly algorithm ; particle swarm optimization ; genetic algorithm ; statistical indices ; Euclidean distance timed and spaced ; meteorological station ; multivariable panel data cluster analysis ; biomedical data ; trigonometric function ; continuous distribution ; undernutrition ; prevalence ; hierarchical Bayesian ; spatial analysis ; small area estimation ; Markov chain Monte Carlo ; wavelet analysis ; extreme subtropical cyclones ; climate change ; sea surface temperature anomalies ; oceanic Rossby waves ; Marine Heatwaves ; Gerber–Shiu function ; constant force of interest ; Volterra equation ; absolute ruin ; delayed reporting times ; generalized odd linear distribution ; hazard rate function ; residual analysis ; Monte Carlo simulation ; Prony method ; exponential sums ; eigenfunctions ; eigenvalues ; sparse expansion ; generating function ; Hankel matrix ; short time Fourier transform ; least-square method ; bivariate beta ; gamma ; hypergeometric function ; sequential ; shift in process variance ; discretizing ; natural discrete Lindley distribution ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 13
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint contains 33 articles accepted and published in the Special Issue entitled “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics, 2022” in the MDPI journal, Mathematics, which covers a wide range of topics connected to the theory and applications of feature representation learning for image processing, artificial intelligence, data mining and robotics. These topics include, among others, elements from image blurring, image aesthetic quality assessment, pedestrian detection, visual tracking, vehicle re-identification, face recognition, 3D reconstruction, the stability of switched systems, domain adaption, deep reinforcement, sentiment analysis, graph convolutional networks, knowledge graphs, geometric metric learning, etc. It is hoped that this reprint will be interesting and useful for those working in the area of image processing, computer vision, machine learning, natural language processing and robotics, as well as for those with backgrounds in machine learning who are willing to become familiar with recent advancements in artificial intelligence, which, today, is present in almost all aspects of human life and activities.
    Keywords: head detection ; YoloV4 ; NMS ; soft-NMS ; people counting ; vehicle re-identification ; license plate recognition ; video surveillance ; feature extraction ; pedestrian detection ; machine learning ; end-to-end ; anchor-free ; feature reuse ; correlation filters ; second-order fitting ; visual tracking ; DCNN-BiLSTM ; domain adaptation ; MMD ; fine-tuning ; C-MAPSS ; cross-working ; small sample ; blind image deblurring ; image prior ; sparse channel ; sparsity ; multi-output ; kNN ; metric learning ; cost-weighted ; geometric mean metric ; motion deblurring ; image super-resolution ; multi-order attention ; gated learning ; decoupling ; face recognition ; second-order gradient ; image gradient orientations ; collaborative-representation-based classification ; image aesthetic assessment ; semi-supervised learning ; label propagation ; deep learning ; computer vision ; garbage quantity identification ; YOLOX ; Soft-NMS ; stability ; switched system ; state-dependent switching ; time delay ; multi-source domain adaptation ; Dempster–Shafer evidence theory ; cross-domain classification ; 3D reconstruction ; multi-view stereo ; structure from motion ; background matting ; adversarial example ; feature transformation ; black-box attack ; ensemble attack ; deep neural network ; intelligent design ; data analysis ; models and algorithms ; extension theory ; scheme design ; adversarial learning ; adversarial equilibrium ; transferability quantification ; power load forecasting ; routing, modulation and spectrum assignment ; elastic optical networks ; deep reinforcement learning ; knowledge distillation ; aspect-based sentiment analysis ; graph neural networks ; dependency trees ; dependency types ; graph attention mechanism ; syntactic ; semantic ; vehicle color recognition ; low–high level joint task ; object detection ; joint semantic learning ; rainy image recovery ; XSS attack ; traffic detection ; payloads ; fusion verification ; hypergraph matching ; similarity metric ; information-theoretic metric learning ; mixed noise removal ; matrix nuclear norm ; logarithm norm ; ADMM ; plug-and-play ; aspect-level sentiment classification ; external knowledge ; KGE ; GCN ; discriminative feature learning ; multidimensional scaling ; fuzzy k-means ; pairwise constraint propagation ; iterative majorization algorithm ; Aspect Level Sentiment Classification ; Contrasitve Learning ; Graph Convolutional Networks ; graph convolutional networks ; commonsense knowledge graph ; anomaly detection ; cyber–physical ; industrial control systems ; image classification ; large-margin technique ; robustness ; anti-noise performance ; cross-domain sentiment classification ; word embedding ; GAT ; hate speech detection ; contrastive learning ; multi-task learning ; attention mechanism ; state reconstruction ; gait adjustment ; uncertain temporal knowledge graph ; temporal knowledge graph ; knowledge graph embedding ; confidence score ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-04
    Description: The book contains papers published in a Special Issue of Axioms, entitled "New Developments in Geometric Function Theory". An Editorial describes the 14 papers devoted to the study of complex-valued functions which present new outcomes related to special classes of univalent and bi-univalent functions, new operators and special functions associated with differential subordination and superordination theories, fractional calculus, and certain applications in geometric function theory.
    Keywords: analytic functions ; vector valued Hardy functions ; boundary values ; analytic function ; starlike function of order α ; convex function of order α ; Sălăgean differential operator ; Alexander integral operator ; starlike and convex functions ; hadamard product ; subordination ; bi-univalent functions ; Fekete–Szegő problem ; Gegenbauer polynomials ; Yamakawa-type bi-starlike functions ; univalent function ; starlike function ; convex function ; meromorphic function ; q-difference operator ; strong differential superordination ; best subordinant ; confluent (Kummer) hypergeometric function ; univalent functions ; coefficient bounds ; bi-starlike and bi-convex functions of complex order ; fractional calculus ; Erdély–Kober-type integral operator ; analytic bi-univalent functions ; zero-truncated Poisson distribution ; Fekete–Szegő functional problem ; logarithmic coefficient ; Hankel determinant ; strongly starlike ; strongly convex ; Bessel function ; uniformly convex functions ; radius of convexity ; vector-valued tempered distributions ; boundary value ; Cauchy integral ; differential operator ; fuzzy differential subordination ; fuzzy best dominant ; fractional integral ; bi-univalent function ; Laguerre polynomial ; coefficient bound ; beta negative binomial distribution ; inequalities ; open unit disk ; symmetric differential operator ; airy functions ; normalization ; complex wave equation ; k-symbol calculus ; fractional derivative operator ; Mittag-Leffler function ; convolution ; n/a ; thema EDItEUR::P Mathematics and Science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 15
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The delicate balance of resource intensity and efficiency of a solution for a very complex problem raises the issue of how these aspects constitute a symmetrical or asymmetrical system. Computational Intelligence (CI) offers a plethora of efficient tools for the potential and rather good quality solution of highly complex, often mathematically intractable problems. This "toolbox" is one of the best examples for the study of the above mentioned issue, namely, how to find the best balance, how to establish a symmetry of weights or costs in a particular field, for a particular problem. This special issue presents a number of interesting novel applications of CI for the tackling of a wide variety of difficult problems. The Introduction gives a short insight into the symmetry and asymmetry aspect of the topic.
    Keywords: lung nodule segmentation ; 3D-UNet ; 3D-Res2UNet ; multi-scale features ; deep learning ; butterfly optimization algorithm (BOA) ; particle swarm optimization (PSO) ; cubic map ; nonlinear ; high dimension ; extensional fuzzy numbers ; MI-algebras ; similarity ; arithmetics of fuzzy numbers ; orderings ; fuzzy interpolation ; economic data ; air defense system ; artificial immune system ; command and control ; learning classifier system ; multi-agent systems ; weapon-target assignment ; energy optimization ; genetic algorithms ; multi-objective optimization ; artificial neural network simulator ; artificial intelligence ; artificial bee colony algorithm ; global optimization ; neural network ; nonlinear static system ; behavioural finance ; imprecision ; oriented fuzzy number ; oriented present value ; oriented return ; S-divergence ; S-distance ; spectral clustering ; text summarization ; recurrent neural network ; embedding ; dynamic memory network ; fuzzy-rough cognitive network ; fuzzy cognitive map ; granular computing ; fuzzy-rough sets ; stability ; convergence ; discrete bacterial memetic evolutionary algorithm ; simulated annealing ; flow shop scheduling problem ; global sensitivity analysis ; Sobol procedure ; fast algorithm ; convolutional neural network ; structure reduction ; pruning ; quality ; feature selection ; machine learning ; asexual ; genetic algorithm ; android malicious application detection ; bees algorithm ; training deep neural networks ; metaheuristics ; opinion mining ; recurrent neural networks ; sentiment classification ; natural language processing ; data augmentation ; fine-tuning ; generative models ; StyleGAN ; transfer learning ; present value ; discount factor ; portfolio ; finance ; optimization ; tourist trip design ; vehicle routing ; key performance indicator (KPI) ; anomaly detection ; variational auto-encoder (VAE) ; support vector data description (SVDD) ; FMEA ; Fuzzy Logic ; greenhouse gases ; blockchain ; difficulty adjustment ; proof-of-work ; ANN ; AlexNet ; COVID-19 ; TSA ; commonsense ; knowledge graph ; linguistic terms ; language models ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Numerical analysis and computer simulations are becoming increasingly important in modeling of new sources and methods of harvesting, transforming and storing energy from its renewable sources. A similar trend is also observed in relation to environmental impacts on people and the buildings in which they use to live or stay, as well as the impact of everyday devices, machines and industrial installations on the quality of air and drinking water. This collection provides an overview of contemporary methods, algorithms and results in this broad and important field of human knowledge. Particularly noteworthy here are works in the area of machine learning and artificial intelligence, where the progress of computer methods and the interest of researchers from many fields seem to be the greatest. The use of statistical and stochastic algorithms that make it possible to take into account the impact of wind, humidity, moisture, temperature and sunlight on the immediate human environment remains still a great challenge.
    Keywords: computer simulations ; statistical methods ; environmental impacts ; renewable energy ; energy harvesters ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The present reprint, “Causal Inference for Heterogeneous Data and Information Theory”, is a special issue of Journal Entropy. This Special Issue belongs to the section "Information Theory, Probability, and Statistics". The reprint gathers thirteen original contributions of leading experts in the theory of causal inference, focusing namely on the utilization of instrumental variables in a causal model, estimation of average treatment effect, the role of interventions in causal models, graphical causal modeling, causal algebras, causal modeling using the theory of categories, temporal causal model, heterogeneous data, and information–theoretic approaches.
    Keywords: common hidden cause ; graphical models ; probabilistic models ; Chain Event Graphs ; interventions ; causal calculus ; causal fairness ; responsible data science ; causal discovery ; Hawkes process ; high-dimensional statistics ; hidden confounder ; causality ; Bitcoin ; inflation ; yield spreads ; approximation theory ; Hellinger distance ; Kullback–Leibler divergence ; correct specification ; misspecified models ; causal inference ; instrumental variables ; neural networks ; doubly robust estimation ; semi-parametric theory ; instrumental variable ; causal graph ; non-Gaussianity ; causal graphs ; dynamic systems ; causal learning ; time ; continuous ; event cognition ; econometrics software ; causal machine learning ; statistical learning ; conditional average treatment effects ; individualized treatment effects ; multiple treatments ; selection-on-observables ; piecewise linear ; thresholds model ; causal Inference ; regularization ; BART ; Stan ; machine learning ; heterogeneous treatment effects ; multilevel data ; grouped data ; artificial intelligence ; higher-order category theory ; statistics ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Apress
    Publication Date: 2024-04-14
    Description: This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library. You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language. What You Will Learn Optimize core operations based on N-dimensional arrays Design and implement an industry-level algorithmic differentiation module Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation Use the Zoo system for efficient scripting, code sharing, service deployment, and composition Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance Who This Book Is For Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.
    Keywords: programming language ; OCaml ; scientific computing ; computational ; debugging ; open source ; source ; code ; numerical ; data science ; big data ; owl ; functional ; math ; scientific ; engineering ; thema EDItEUR::U Computing and Information Technology ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint discussed Coding and compression; Content storing and management; Electronic media; Internet technology; Image and video signals; Multimedia processing; Quality of experience (QoE); Quality of service (QoS); Signal processing; Streaming services; Subjective and objective metrics; User experience (UX).
    Keywords: canny edge detector ; deep belief network ; dragonfly optimization algorithm ; image processing ; local binary pattern ; tool wear monitoring ; agile ; implementation ; hardware development ; case study ; user experience ; oil sheen ; oil pollution monitoring ; convolutional neural network ; transfer learning ; traffic prediction ; artificial neural networks ; adaptive video ; integrity analysis ; integrity preservation trace ; video contents ; blockchain ; digital video forensic ; scrambled linear block codes ; cross-correlation of symbols ; partial autocorrelation function ; convolutional long short-term memory neural networks ; IMS ; NGN ; MPLS ; call processing performance ; quality of service ; performance evaluation ; traffic model ; polar code ; neural network ; decoder ; deblocking filter ; quality assessment ; parallel edge filter ; HEVC/H.265 ; sample adaptive offset filter ; nighttime dehazing ; daytime dehazing ; mixed-filter ; high-light area transmission compensation ; regularization ; guided filtering ; nonuniformity correction ; infrared focal plan linear array detector ; linear regression fitting ; video quality ; objective quality assessment methods ; subjective quality assessment methods ; user perception ; QoE ; video codecs ; H.264 (AVC) ; H.265 (HEVC) ; VP9 ; network security ; antivirus evasion ; cybersecurity ; EEG (electroencephalography) ; HCI (human–computer interaction) ; mining ; occupational safety ; swarm intelligence ; UX (user experience) ; wireless networks ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-04
    Description: This open access text aims at giving you the simplest possible introduction to differential equations that are used in models of electrophysiology. It covers models at several spatial and temporal scales with associated numerical methods. The text demonstrates that a very limited number of fundamental techniques can be used to define numerical methods for equations ranging from ridiculously simple to extremely complex systems of partial differential equations. Every method is implemented in Matlab and the codes are freely available online. By using these codes, the reader becomes familiar with classical models of electrophysiology, like the cable equation, the monodomain model, and the bidomain model. But modern models that have just started to gain attention in the field of computational electrophysiology are also presented. If you just want to read one book, it should probably not be this one, but if you want a simple introduction to a complex field, it is worth considering the present text.
    Keywords: Action potential ; Cardiomyocytes ; Differential equations ; numerical methods ; software ; computational physiology ; computational electrophysiology ; Cable equation ; bidomain ; cell-based models ; thema EDItEUR::P Mathematics and Science::PB Mathematics ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues ; thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In the era of the Internet of Things, images have played important roles in human–computer interactions, and with the arrival of big data technology, people have higher requirements regarding image quality, especially for images collected in dark light. This can be addressed through the development of camera hardware quality, i.e., the resolution and exposure time of cameras, which may require high computational costs. As an alternative, image enhancement techniques can exact salient features to improve the quality of captured images according to the differences in diverse features, although they suffer from some challenges, i.e., a low contrast, artifacts, and overexposure, thus making it decidedly necessary to determine how to use advanced image enhancement techniques. The topic of advances in the image enhancement of electronics is presented in this reprint, which brings together the research accomplishments of researchers from academia and industry. The secondary goal of this reprint is to display the latest research results of advances in image enhancement.
    Keywords: dual networks ; enhanced CNN ; fine learning block ; image super-resolution ; attention mechanism ; convolutional neural networks ; deep learning ; generative adversarial networks ; multiple domains ; translate images ; restart strategy ; adaptive adjustment ; particle swarm optimization ; spline interpolation ; image denoising ; GAN ; optimization algorithm ; autoencoder ; ResNet ; object detection ; YOLOv5s ; image segmentation ; wavelet scattering ; loss function ; active contour ; medical image ; image stitching ; camera calibration ; layered projection ; binocular ranging ; stereo correction ; HOG ; feature fusion ; DHV recognition ; image enhancement ; cross stage partial network ; zero-reference ; Ghost module ; NDT registration ; map building ; RandLa-Net ; random sampling ; semantic segmentation ; capsule network ; power line scene recognition ; complex background ; Visual SLAM ; dynamic scene ; YOLOv5 ; K-means clustering ; probability update ; side-scan sonar ; segmentation ; CNN ; SE-block ; multi-channel ; blockchain technology ; electronic bidding ; system design ; A-star algorithm ; artificial potential field method ; least squares method ; path planning ; night image dehazing ; encoder–decoder architecture ; image fusion ; multi-scale network ; serial architecture ; U-net ; blind watermark removal ; low illumination ; Retinex theory ; histogram equalization ; wavelet transform ; color moments ; non-local mean filter ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue, "Mathematical and Molecular Topology" welcomed papers from a broad interdisciplinary area, since topology is concerned with the properties of objects that are preserved under continuous deformations, such as stretching, twisting, crumpling and bending. One of the oldest problems in topology is The Seven Bridges of Königsberg. Topology naturally finds application in all fields of engineering, physical sciences, life sciences, social sciences, medicine, business and even arts. The motivating insight behind topology is that some geometric problems depend not on the exact shape of the objects involved, but rather on the way they are put together. Circa 1750, Euler stated the polyhedron formula, V − E + F = 2 (where V, E, and F respectively indicate the number of vertices, edges, and faces of the polyhedron), which may be regarded as the first theorem, signaling the birth of topology. Subjects included in topology are graph theory and algebraic topology.
    Keywords: closure space ; canonically closed ; weakly normal ; almost normal ; π-normal ; weakly π-normal ; κ-normal ; local convergence ; nonlinear equations ; Banach space ; Fréchet-derivative ; Gaussian ; optimization ; geometry ; molecular modeling ; amino acids ; maximum clique ; protein graphs ; machine learning ; ProBiS ; entropies via various molecular descriptors ; H3BO3 layer structure ; subdivision of H3BO3 ; line graph of H3BO3 ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint was established after the 9th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.
    Keywords: distributor’s pallet loading problem ; heuristics ; bin packing ; real-life instances ; emergency medical services ; emergency medicine ; decision-support system ; pre-hospital emergency care ; ambulance response time ; machine learning ; geo-indistinguishability ; differential privacy ; privacy-preserving machine learning ; input perturbation ; estimation of distribution algorithm ; Mallows model ; moth-flame algorithm ; job shop scheduling problem ; quay crane scheduling problem ; first-passage time ; Markov chain ; queueing theory ; simulation ; OR in health services ; KPI ; wind energy ; wind turbine blades ; erosion ; modal analysis ; aerodynamic analysis ; AutoML ; feature selection ; fault severity assessment ; gearboxes ; XGBoost classifiers ; autism ; attention ; ASD ; learning activities ; EEG ; BCI ; features ; artificial intelligence ; Grouping Genetic Algorithm ; variable decomposition ; Large-Scale Constrained Optimization ; DVT ; early diagnosis ; machine-learning ; smart system ; embedded system ; edge computing ; edge device ; OpenFOAM ; CFD ; ANFIS ; ANFIS (GA) ; ANFIS (PSO) ; ANFIS (FFA) ; nonlinear programming ; largest small polygons (LSP) ; {LSP(n)} model-class ; optimal area sequence {A(n)} ; revised LSP model ; mathematica model development environment ; IPOPT solver engine ; numerical optimization results and regression model for estimating {A(n)} ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Advanced intelligent control is a rapidly developing, complex and challenging field with significant practical importance and potential applications. The authors aim to stimulate advancements in science and technology by addressing this field and presenting new trends in the design, control and applications of real-time intelligent sensor system control using advanced intelligent control methods and techniques. The purpose of the Special Issue is to promote in-depth research and communication regarding these topics. The authors focus on innovative multi-sensor fusion techniques integrated into robots, which are combined with computer vision, virtual and augmented reality (VR&AR) and intelligent communication including remote control, adaptive sensor networks and human–robot (H2R) interaction systems. Special attention is given to advancements in sensors, actuators, computation technology and communication networks that provide the necessary tools for implementing intelligent control hardware. These advancements are targeted toward various scientific research fields, including machine learning (such as deep learning), bio-inspired algorithms, recurrent neural networks, neuro-fuzzy control and artificial intelligence in general. The Special Issue includes original research papers that report on the recent advancements in intelligent control using intelligent sensors. It serves as a further extension of the previously successful Special Issue, “Advanced Intelligent Control through Versatile Intelligent Portable Platforms”.
    Keywords: nonlinear intelligent control ; support vector regression ; feedforward control ; human arm viscoelastic ; resource-aware control ; co-regulation ; feedback scheduling ; time-varying system ; neural adaptive control ; fault-tolerant control ; integrated attitude and position control ; spacecraft proximity operations ; indirect neural approximation ; Lyapunov analysis ; real-time trajectory prediction ; mechanically thrown objects ; internal logistics ; smart manufacturing systems ; multi-camera simulation ; many-to-many time series forecasting ; encoder-decoder bidirectional LSTM deep neural networks ; arbitrary order sliding mode ; networked system ; finite-time systems ; nonlinear system ; hybrid position/force control ; sliding mode control ; decision method ; neutrosophic logic ; extension set ; mobile robot ; advanced intelligent control ; wheeled–legged ; trajectory tracking ; model predictive control ; smart vehicle ; probabilistic roadmap algorithm ; pseudo-random sampling ; collision detection ; path smoothing ; monocular vision ; human joint angle measurement ; visual detection method ; hand disability ; mobile manipulator ; motion planning ; simultaneous control ; path analysis ; ROS ; rehabilitation robot ; human–robot interaction ; admittance control ; robust control ; active strength training ; sEMG ; lower limb rehabilitation robot ; compliance control ; training mode ; MOTOmed ; continuous passive motion ; straight leg raise ; feature analysis ; wire + arc additive manufacturing ; surface roughness ; deep neural network ; arc welding ; quadruped robot ; change of running direction ; dynamic model ; stability index system ; simulation analysis ; self-collision detection ; dual-manipulator system ; artificial intelligence ; GJK algorithm ; robotics control ; local path planner ; task redundancy ; collision avoidance strategy ; drone ; UAV ; multi-agent ; ArUco ; markers ; group of drones ; machine vision ; computer vision ; sensors ; machine learning ; industry ; manufacturing ; robotics ; sensor systems ; remote control and communication ; simulation ; mobile health ; stroke monitoring ; iomt-stacked convolutional neural networks ; GMDH neural networks ; Deep LSTM ; biomedical EMG signal processing ; rapidly-exploring random tree (RRT) ; path planning ; robot manipulator ; object pick-and-place ; collision-free ; robot operating system (ROS) ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field.
    Keywords: generative adversarial networks ; data augmentation ; object identification and scene classification ; medical imaging ; detecting fake news on social media ; facial expression recognition ; automatic feature selection ; text and narrative representation ; image and video reconstruction ; prediction analysis ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 29th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2023, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023, during April 22-27, 2023, in Paris, France. The 56 full papers and 6 short tool demonstration papers presented in this volume were carefully reviewed and selected from 169 submissions. The proceedings also contain 1 invited talk in full paper length, 13 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, flexibility, and efficiency of tools and algorithms for building computer-controlled systems.
    Keywords: Computer Science ; Informatics ; Conference Proceedings ; Research ; Applications ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This Special Issue contains eleven accepted and published submissions to a Special Issue of the MDPI journal Axioms on the subject of “Nonlinear Dynamical Systems with Applications”. In this volume, the invited authors have submitted their latest results on nonlinear dynamical systems and related applications. All papers have been accepted after a rigorous review process.
    Keywords: competition-diffusion-advection ; principal eigenvalue ; dynamic behaviors ; global asymptotic stability ; degenerated (p,q)-Laplacian ; competing (p,q)-Laplacian ; weighted Sobolev space ; convection ; finite dimensional approximation ; weak solution ; generalized solution ; Gerdjikov-Ivanov equation ; time–space scales ; Darboux transformation ; N-soliton solution ; delay ; diffusion ; hopf bifurcation ; nutrient-phytoplankton model ; (p,2) and (p,q)-Laplacians ; nonlinear regularity ; positive solutions ; strong comparison principle ; sublinear reaction ; bifurcation-type results ; fractional-order system ; quasi-linear system ; impulse ; integro-differential equation ; stability ; multiple delays ; differential set-valued inverse variational inequality ; Carathéodory weak solution ; switched system ; unstable subsystem ; asymptotic stability ; state-dependent switching rule ; α-admissible ; ϝ-contraction ; fixed point ; α*-admissible ; α-ϝ-convex contraction ; integral equation ; Levinson’s inequality ; Jensen’s functional ; time scale calculus ; harmonic p-valent functions ; the q-Mittag–Leffler function ; (p,q)-convex functions ; extreme points ; Hadamard product ; closed convex hulls ; q-Bernardi integral operator ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint of a Special Issue in the journal Algorithms is dedicated to scheduling algorithms and their various applications. In addition to the Editorial, it contains 12 papers including a survey of assembly and production line design and scheduling under uncertainty. Other topics addressed in this reprint are the energy management of power systems, cost scheduling for financial data supply chains, staff scheduling in the construction industry, various assignment problems, single-lane roundabouts, robotic arm-based batching systems with conveyor belts, as well as single-machine and flow-shop scheduling problems.
    Keywords: batteries ; photovoltaic cell ; fuel cell ; super capacitor ; state-of-charge ; energy management ; permutation flow shop ; simheuristic ; multicriteria ; PAES ; GRASP ; AHP ; financial data ; supply chain management ; data batching ; scheduling ; batching cost ; parallel processing ; optimization ; multi-processing commitment ; hybrid mixed-flow workshop ; hybrid particle swarm algorithm ; algorithm parallelization ; computational efficiency ; construction industry ; irregular employees ; staff scheduling ; mathematical model ; business level strategies ; decision-making ; organizational effectiveness ; UPC ; distributed computing platform ; uniform job ; static assignment ; linear equations ; assignment problem ; traveling salesman problem ; vehicle routing problem ; flow shop scheduling problem ; GAMS, genetic algorithm ; constraint programming ; heuristics ; local search ; survey ; assembly line ; optimal line balance ; uncertainty ; stability analysis ; suburban roundabout design ; swept path analysis ; geometric parameters ; performance estimation ; capacity assessment ; robotic arm-based batching systems ; scheduling robotic arms ; robotic task-sequencing problem ; real-time decision making ; give-away minimization ; SHOA ; hybrid algorithm ; metaheuristics ; spotted hyena optimizer ; genetic algorithm ; uniform crossover ; OR library ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The topic of the reprint is very important nowadays, because ever-evolving machine learning techniques make it possible to obtain better real-world data. Therefore, this reprint contains information related to real data in fields such as automatic sign language translation, bike-sharing travel characteristics, stock index, sports data, fake news data, and more. However, it should be noted that the reprint also contains a lot of information on new developments in machine learning, new algorithms, algorithm modifications, and a new measure of classification quality assessment that also takes into account the preferences of the decision maker.
    Keywords: machine learning ; optical networks ; imbalanced data ; one-class classification ; entropy measure ; real-world data ; preprocessing ; decision table ; classification ; query set ; decision tree ; differential cryptanalysis ; metaheuristics ; symmetric block ciphers ; memetic algorithms ; DES ; simulated annealing ; COVID-19 ; vaccination ; agent-based modelling ; dynamic stochastic general equilibrium models ; scenario analyses ; validation of results ; stock index forecasting ; CEEMDAN ; ADF ; ARMA ; LSTM ; hybrid model ; classification measure ; quality of classification ; quality measure ; preference-driven classification ; fast iterative filtering ; parameter adaptive refined composite multiscale fluctuation-based dispersion entropy ; rotating machinery ; fault diagnosis ; short-term demand prediction ; bike-sharing ; travel characteristics analysis ; hybrid TCN-GRU model ; distributed data ; decision tables ; information systems ; decision trees ; decision rules ; tests ; reducts ; association rules ; Pawlak conflict analysis model ; independent data sources ; coalitions ; dispersed data ; length ; support ; greedy heuristics ; feature selection ; rough sets ; action units ; automatic translation ; sign language ; entropy of real data ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. The topics within the chapters of the publication fall into six categories: computer vision, teaching and learning, social media, forecasting, basic problems of machine learning, and other topics.
    Keywords: robust matrix factorization ; student grade prediction ; educational data mining ; side information graph ; personal teaching and learning ; deep multi-target prediction ; Felder–Silverman learning style ; adaptive e-learning systems ; artificial neural network ; deep learning ; transfer learning ; student performance prediction ; Machine learning analysis ; sentence modeling ; topic analysis ; cross referencing topic ; machine learning ; classification ; preprocessing ; instance selection ; data mining ; predictive analytics ; sales ; performance measurement ; human resources ; rumor refuter ; nature language processing ; XGBoost ; feature analysis ; Bitcoin ; higher order neural network ; volatility forecasting ; hybrid models ; warehouse optimization ; genetic algorithms ; crossover ; construction productivity ; construction safety ; synthetic data ; tracking ; academic performance ; course grades ; grade point average ; prediction ; undergraduate ; cloud detection ; superpixel segmentation ; convolutional neural networks ; support vector machines ; machine learning algorithms ; multiple linear regression ; SVM ; management ; social network services ; image representation ; local features ; autoencoder ; convolutional neural network ; user generated content ; sentiment analysis ; keyword extraction ; text representation ; sampling ; TripAdvisor ; adaptive camouflage ; convolutional neural network (CNN) ; k-means ; object detection ; image completion ; saliency detection ; social media ; micro-blogs (Twitter) ; towards recommending influencers based on topic classification ; investigation framework ; comparison of various techniques for topic classification ; cost-benefit function ; partial differential equations ; physics-informed neural network ; wave equation ; KdV-Burgers equation ; KdV equation ; neural network ; cyclical learning rate ; remote sensing ; scene classification ; backscatter data ; lidar ceilometer ; weather detection ; online taxi-hailing demand ; backpropagation neural network ; extreme gradient boosting ; real-time prediction ; climate zone ; climate change impact ; Jhelum River Basin ; Chenab River Basin ; support vector machine ; decision tree ; large-scale dataset ; relative support distance ; support vector candidates ; answer set programming ; non-deterministic automata induction ; grammatical inference ; geopolymer concrete ; deep neural network ; ResNet ; compressive strength ; fly ash ; sleep apnea ; airflow signal ; Gaussian Mixture Models (GMM) ; cyber security ; vulnerability detection ; word embedding ; drifter trajectory ; evolutionary computation ; NCLS ; stock performance ; earning rate ; volatility ; heatwaves ; big data ; random forest regression model ; semi-regression ; early prognosis ; interpretation ; COREG algorithm ; cascaded classifier ; computer vision ; construction site management ; consumer classification ; over-the-top ; time-aware classification ; code auto-completion ; GPT-2 model ; advanced design methods ; mass operator ; structural stress ; live prediction ; vibration test ; genetic programming ; parsing expression grammar ; BiLSTM ; BERT ; NLP ; context-aware ; LDA ; LSTM ; crowdfunding ; project recommendation system ; optimization ; weather nowcasting ; deep neural networks ; autoencoders ; Principal Component Analysis ; learning classifier systems ; anticipatory classifier systems ; reinforcement learning ; OpenAI gym ; healthcare ; COVID ; time-series predictions ; ARIMA ; Prophet ; GRNN ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 26th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2023, which was held during April 22-27, 2023, in Paris, France, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2023. The 26 regular papers presented in this volume were carefully reviewed and selected from 85 submissions. They deal with research on theories and methods to support the analysis, integration, synthesis, transformation, and verification of programs and software systems.
    Keywords: Computer Science ; Informatics ; Conference Proceedings ; Research ; Applications ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint highlights the importance of Deep Learning (DL), which has garnered significant attention in science, industry, and academia. It draws inspiration from the functioning of the human brain and the concept of learning. Unlike traditional and machine learning methods, deep learning techniques emulate the human brain's neural networks at a lower scale, allowing them to process and analyze substantial quantities of unstructured data. The remarkable proficiency of deep learning in unveiling intricate structures within extensive datasets genuinely resembles the extraordinary aptitude of the brain to recognize patterns and form complex connections. This unique characteristic allows DL to excel in modeling and solving complex problems across various scientific and technological fields. Just as the brain learns from experience, DL architectures learn through algorithms from data by adjusting numerous parameters during training to optimize their performance and accuracy. This concept of learning and adaptation is fundamental to DL's success. This reprint serves as an excellent opportunity to disseminate current knowledge beyond academic boundaries, reaching a diverse audience encompassing academics, professionals, and the general public. This wide readership fosters the potential for meaningful connections to established projects and the cultivation of collaboration for future research endeavors.
    Keywords: PSO ; sign language recognition ; optimization of convolutional neural networks ; breast segmentation ; mammogram ; deep learning ; semantic segmentation ; radar image prediction ; rain radar ; precipitation nowcasting ; UNet ; PredRNN_v2 ; cubical complex ; cubical homology ; image classification ; persistent homology ; labor exports ; Northeast Asian Countries ; backpropagation neural network (BPNN) ; k-Nearest Neighbor (kNN) ; random forest regression (RFR) ; decision making ; emotion distribution learning ; text-based emotion analysis ; affective words ; multi-task CNN ; ghettos ; GIS ; networks ; Washington D.C. ; machine learning ; segregation ; hybrid deep learning ; time series ; LSTM ; Stacked LSTM ; CNN-LSTMs ; BDLSTM ; CNN ; GRU ; modeling ; SARS-CoV-2 ; generative adversarial network ; image generation ; image synthesis ; GAN ; generative model ; Inception score ; scoreGAN ; waste classification ; angle detection box ; dynamic smoothing ; YOLOv5 ; computer vision ; object detection ; traffic sign detection ; you only look once (YOLO) ; attention mechanism ; feature fusion ; barrier options ; Black–Scholes model ; polynomial regression ; random forest regression ; artificial neural network ; option Greeks ; data analysis ; ski goggles lenses ; surface defect ; automatic optical inspection ; Faster-RCNN ; fine-tune ; MobileNetV3 ; FPN ; RPN ; DNS ; firewall ; malicious ; domain ; name ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The reprint offers a selection of high-quality research articles that tackle the major difficulties in computer vision and machine learning for intelligent sensing systems from both theoretical and practical standpoints. This publication includes intelligent sensing techniques, twelve foundational investigations into sense-making methods, and discusses particular uses of intelligent sensing systems in autonomous driving and virtual reality.
    Keywords: mobile edge computaing ; simultaneous wireless information and power transfer ; energy minimization ; 5G ; wireless sensing network ; IoT ; fiber bragg grating ; optical fiber sensor ; distributed temperature sensor ; deep learning algorithms ; fully connected neural network ; convolutional neural network ; MADS dataset ; human segmentation ; human tracking ; convolutional neural networks ; targeted advertising ; emotion-based recommendation ; augmented reality ; computer vision ; deep learning ; clustering ; similarity measure ; geodesic measure ; Euclidean measure ; depth fusion ; TSDF ; sensor noises ; gaze estimation based on feature ; eye landmark detection ; self-attention ; synthetic eye images ; heuristic attention ; perceptual grouping ; self-supervised learning ; visual representation learning ; intelligent sensors ; robotics ; event-based camera ; contrast maximization ; optical flow ; motion estimation ; human action recognition ; graph neural network ; attention module ; big five personality traits ; cultural algorithm ; hyper-parameter optimization ; personality perception ; online self-calibration ; voxel information ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The purpose of this Special Issue is to pay tribute to the significant contributions made by Professor Feng Qi in these fields and to provide some important recent advances in theory, methods, and applications.
    Keywords: Neuman–Sándor mean ; arithmetic mean ; contra-harmonic mean ; bound ; inequality ; hyperbolic sine function ; hyperbolic cosine function ; majorization ; log-concave sequence ; symmetric function ; symmetric mean ; recurrence relations ; grammars ; real zeros ; Bell triangular array ; Seiffert mean ; sinc function ; sinhc function ; inverse hyperbolic function ; trigonometric function ; necessary and sufficient condition ; overview ; survey ; series expansion ; partial Bell polynomial ; convex function ; special function ; mathematical mean ; Bernoulli number ; matrix ; completely monotonic degree ; logarithmically completely monotonic function ; gamma function ; polygamma function ; Bell number ; Wallis ratio ; additivity ; complete elliptic integral ; Pólya inequality ; statistics ; Hermite–Hadamard type integral inequality ; (α, s)-geometric-arithmetically convex function ; (α, s, m)-geometric-arithmetically convex function ; Schur-convex function ; Hadamard’s inequality ; convex functions of two variables ; mean ; positive operator ; joint A-numerical radius ; Euclidean operator A-seminorm ; joint operator A-seminorm ; Hamilton-Jacobi-Bellman equation ; stochastic optimal control ; dynamic programming principle ; dual transformation ; dynamic Hardy’s type inequality ; Muckenhoupt weights ; self-improving properties ; time scales ; Fourier transform ; linear canonical transform ; complex function ; Hermite–Hardamard inequality ; integral inequalities ; special means ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Computer Vision (CV) have seen a massive rise in popularity in the remote sensing field over the last few years. This success is mostly due to the effectiveness of deep learning (DL) algorithms. However, remote sensing data acquisition and annotation, as well as information extraction from massive remote sensing data, are still challenging. This reprint collected novel developments in the field of deep learning and computer vision methods for remote sensing. Papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems, have been published. With practical examples and real-world case studies, this reprint provides a valuable resource for researchers, professionals, and students seeking to harness the power of deep learning in the field of remote sensing. Here are some major topics that are addressed in this reprint: Satellite image processing and analysis based on deep learning; Deep learning for object detection, image classification, and semantic and instance segmentation; Deep learning for remote sensing scene understanding and classification; Transfer learning, deep reinforcement learning for remote sensing; Supervised and unsupervised representation learning for remote sensing environments.
    Keywords: pose estimation ; landmark regression ; space target ; 1D landmark representation ; deep learning ; convolutional neural network (CNN) ; deep supervision ; lightweight model ; remote sensing ; semantic segmentation ; convolutional neural networks (CNNs) ; remote sensing images ; object detection ; knowledge inference module ; convolutional neural networks ; tree ensemble methods ; multi-label classification ; complex-valued U-Net ; complex-valued capsule network ; polarimetric synthetic aperture radar ; unmanned aerial vehicle (UAV) ; grassland grazing livestock ; remote sensing image ; artificial intelligence ; building extraction ; multi-scale object detection ; multi-feature fusion and attention network ; multi-branch convolution ; attention mechanism ; loss function ; remote-sensing image ; neural architecture search ; sparse regularization ; HRNet ; Earth observation ; land use and land cover classification ; transfer learning ; dynamic resolution adaptation ; small-object detection ; machine learning ; data augmentation ; automatic target recognition ; synthetic aperture radar ; spacecraft recognition ; few-shot feature adaptation ; generative family ; neural processes ; remote sensing imagery ; transformer ; Landsat ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Singapore
    Publication Date: 2024-04-14
    Description: Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs. This Open Access book can be used as a technical reference book in the field of information science and also a reference textbook for senior students and graduate ones in related majors.
    Keywords: Object Information Theory ; Information Space ; Structural Framework ; Metaverse ; Information Model ; Information Measure ; Information Systems Dynamics ; Air Traffic Control System (ATCS) ; Smart Court SoSs (System of Systems) ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint comprises a collection of 20 articles that were accepted and published in the Special Issue titled " Recent Advances in Swarm Intelligence Algorithms and Their Applications" of the MDPI journal Mathematics. These articles cover a wide range of topics related to swarm intelligence algorithms and their theories. The topics include improvements in algorithm mechanisms, fusion algorithms, multiobjective optimization, and the optimization of large-scale problems, as well as the application of swarm intelligence in various fields such as engineering optimization problems, vehicle swarm motion, viscoelastic Maxwell-type DVA, and deep learning. It is hoped that this reprint will be helpful for scholars engaged in the field of swarm intelligence and also suitable for researchers interested in staying updated with the latest advancements in swarm intelligence algorithms and their applications. Nowadays, swarm intelligence is closely intertwined with various aspects of life. This reprint aims to provide readers with an understanding of these developments and further expand the application boundaries of such algorithms.
    Keywords: preference incorporation ; ant colony optimisation ; grey wolf optimisation ; interval outranking ; multi-criteria decision analysis ; swarm intelligence algorithms ; piecewise linearization ; optimization ; parameter tuning ; approximation ; experimental comparison ; graph convolutional network ; relation extraction ; machine learning ; natural language processing ; metaheuristic algorithms ; Whale Optimization Algorithm ; HBA ; radial distribution systems ; power loss ; sensitivity analysis ; DG optimal allocation ; voltage deviation ; capacitor banks ; electricity market ; optimal bidding ; Harris Hawk Optimization ; multi layered neural network ; bi-level optimization ; strategic bidding ; ground-penetrating radar (GPR) ; cavity morphology recognition ; few-shot learning (FSL) ; deep learning (DL) ; relation network (RelationNet) ; unmanned aerial vehicle swarm ; antenna array ; near-field beamforming ; array element position error compensation ; spatial area division ; economic load dispatch ; pigeon-inspired optimizer ; oppositional-based learning ; swarm intelligence algorithm ; oppositional-based pigeon-inspired optimizer ; tunicate swarm algorithm ; chaotic mapping ; Lévy flight strategy ; benchmark test functions ; engineering design problems ; meta-heuristic ; large-scale agents ; attack and defense ; multi-population mean-field game ; high-dimensional solution space ; neural networks ; bat algorithm ; hybrid strategy ; energy harvesting ; NOMA ; cognitive relay network ; multimodal optimization ; multiple optima ; partition-based random search ; niching ; global optimization problems ; moth-flame optimization ; premature convergence ; population diversity ; grey wolf optimization ; swarm intelligence ; real world application ; spiking neural P system ; AEC system ; LMS ; neuromorphic architecture ; FPGA ; Harris hawks optimization ; elite opposition-based learning ; Sobol sequence ; nonlinear weight ; Gaussian walk learning ; particle swarm optimization algorithm ; dynamic vibration absorber ; Maxwell-type ; inerter ; negative stiffness ; chaotic-based PPE algorithm ; meta-heuristic algorithm ; chaotic maps ; Mahjong ; differential evolution ; deficiency number ; combinatorial optimization ; reinforcement learning ; multi-agent reinforcement learning ; self play ; population play ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The reprint “Energy-efficient communication networks and systems” gives insights into the range of problems in the field of obtaining more energy-efficient communication networks and systems. The reprint contains the outcomes of the “Special Issue on energy-efficient communication networks and systems” organized for the Sensors journal published by the Multidisciplinary Digital Publishing Institute (MDPI). The 12 high-quality papers published in the frame of the Sensors journal Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field to which this reprint is dedicated.Published papers consolidated in this reprint are self-contained peer-reviewed scientific works. Among published papers, one paper is editorial, one paper is a review type of paper, and the remaining ten articles are research articles. The papers are authored by 40 authors coming from academia and industry. The published articles target the improvement of energy efficiency in the fields of fiber-wireless, vehicle-to-vehicle/infrastructure, sensors, satellites, 5G, virtual elements, and cognitive radio networks. The contributions of published papers provide valuable insights into the latest research and technologies for improving the energy efficiency of communication networks and systems.This reprint can serve the readers as a source of information when needed in their industrial, teaching and/or research and development activities since it presents the recent advances in different fields related to improving the energy efficiency of communication networks and systems.
    Keywords: green communications ; green networking ; 5G ; radio access network ; base station ; energy-efficiency ; metric ; data ; coverage ; power ; mobile network operator ; wireless ; spectrum sensing ; energy detection ; SLC ; OFDM ; noise uncertainty ; dynamic threshold ; MIMO ; SISO ; cognitive networks ; SNR ; probability ; false alarm ; transmit ; receive ; energy consumption management ; content forwarding ; information-centric networks ; internet of things ; smart city ; LEO satellite communications ; massive MIMO ; multigroup multicast ; user scheduling ; hybrid beamforming ; robust ; joint design ; energy efficiency ; 5G HetNets ; BPSO ; classification trees (CTs) ; soft frequency reuse (SFR) ; small cells (SCs) ; virtualization ; power consumption ; power models ; power meters ; energy-aware algorithms ; vehicular communications ; deep reinforcement learning ; deep Q-network ; resource allocation ; radio ; access ; networks ; fiber ; D-RAN ; C-RAN ; Mobile fronthaul ; RoF ; digitized RoF ; analog RoF ; NGFI ; FiWi ; NG–PON ; SDN ; NFV ; MEC ; machine learning ; telecom services operator ; traffic prediction ; Internet of Remote Things ; sparse LEO satellite transmission ; water-level monitoring ; wireless networks ; data dissemination ; broadcast tree ; MAXFLAT ; PDM ; sigma–delta ; microphone ; sensor array ; decimation ; beamforming ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint contains 15 articles from the Special Issue of the MDPI journal Processes on "Machine Learning-Assisted Intelligent Processing and Optimization of Complex Systems". These articles focus on the most recent developments in intelligent optimization methods and their applications in various test cases. The reprint covers various topics, including distributed multiagent modeling, metaheuristic algorithms, multisource data fusion, mobile computing and mobile sensing, machine learning-based intelligent processing for modeling complex manufacturing systems, and data-driven intelligent modeling.Focusing on the abovementioned subjects, this reprint can be useful for researchers interested in intelligent optimization techniques and their applications in the fields of artificial intelligence and machine learning. We believe that this reprint will encourage the convergence between many communities.
    Keywords: Chilo suppressalis ; meteorological data ; time series analysis ; DeepAR ; deep learning ; integrated pest management ; text vectorization ; topic model ; pretrained model ; transfer learning ; drop impact ; maximum spreading diameter ; scaling laws ; analytical models ; machine learning ; agribusiness ; optimization of the production flow ; cold storage management ; endogenous fruits ; peaches ; lean tools ; 5S ; Kaizen ; Value Stream Mapping ; inappropriately wearing facemask ; mask detection ; UAV edge network ; popularity prediction ; cache strategy ; artificial bee colony ; turbulence ; passive scalar ; convolutional neural network ; estimating diffusion source distance ; leaking gas detection ; waste marble powder ; flexural strength ; support vector machines ; Gaussian processes ; ANFIS ; cross-domain ; MEC ; resource allocation ; IIOT ; knowledge graph ; knowledge structuring ; entity extraction methods ; asset administration shell ; process industry entity relationship networks ; Industry 5.0 ; human-centricity ; human-centred ; I5.0 technologies ; artificial intelligence ; robotics ; cyber-physical systems ; digitalization ; acoustic signal ; fault diagnosis ; adaptive multi-threshold segmentation ; subdomain adaptation ; variable speed condition ; local maximum mean discrepancy ; weed detection ; weed classification ; support decision-making algorithm ; fruit detection ; disease detection ; CNN ; performance metrics ; agriculture ; deep learning neural network ; process control ; hydraulic fracture ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Machine learning and computational intelligence have been applied to various areas and witnessed many successes. The research in this publication explorse many intelligent algorithms which are characterized by computational adaptability, robustness, and high performance. These algorithms facilitate intelligent behavior in complex and dynamic environments and the development of technology that enables machines to think, behave, or act in a more humanesque fashion. This reprint aims to present and discuss the most recent innovations, trends, concerns, challenges, solutions, and application fields in the areas of machine learning and computational intelligence.
    Keywords: left ventricle segmentation ; UNet 3+ ; encoder–decoder ; transformer ; magnetic resonance imaging ; beta function ; crow search algorithm ; dynamic multi-objective optimization problems ; evolutionary algorithm ; many-objective optimization problems ; naive Bayesian classifier ; attribute independence assumption ; mixed-attribute classification ; conditional probability ; Bayesian network ; attribute transformation ; subsection proximal policy optimization ; weighted importance sampling ; TORCS ; vehicle-following ; autonomous driving ; credit scoring ; machine learning ; deep learning ; model predictive control ; reinforcement learning ; parameter adaptive ; quadruped robot ; facial skin problem ; mask R-CNN ; super resolution ; Generative Adversarial Network (GAN) ; tactics for high performance ; R5DOS intersection matrix ; RJA-star algorithm ; jump point search algorithm ; path planning ; sentiment analysis ; cross-validation ; vectorization ; feature importance ; differential evolution strategy ; global search optimization ; optimization algorithm ; search accuracy ; weighted mean of vectors ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Switzerland
    Publication Date: 2024-04-04
    Description: This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and computational science, and numerous solvers are available in commercial and open source software. However, no single ODE solver is the best choice for every single problem, and choosing the right solver requires fundamental insight into how the solvers work. This book will provide exactly that insight, to enable students and researchers to select the right solver for any ODE problem of interest, or implement their own solvers if needed. The presentation is compact and accessible, and focuses on the large and widely used class of solvers known as Runge-Kutta methods. Explicit and implicit methods are motivated and explained, as well as methods for error control and automatic time step selection, and all the solvers are implemented as a class hierarchy in Python.
    Keywords: Ordinary differential equations ; Runge-Kutta methods ; scientific programming ; Python programming ; object-oriented programming ; difference equations ; adaptive time step methods ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::P Mathematics and Science::PB Mathematics
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power-constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks.
    Keywords: propagation trends ; social networks ; group features ; dilated CNN ; machine learning ; physical layer security ; Rice channels ; wireless communications ; 6G security ; sycon ; cube attack ; state recovery ; wireless body area networks ; authentication ; biometric ; physical unclonable function ; BAN logic ; RoR model ; AVISPA ; 6G wireless communications ; chi-square ; cybersecurity ; intrusion detection system ; machine learning techniques ; meta-model ; stacking ensemble learning ; voting techniques ; fault attack ; error detection ; code abiding ; overcost ; bitslice cipher ; multiple eavesdroppers ; full-duplex ; underground mine ; amplify-and-forward relay ; communication system security ; physical layer ; wireless communication ; precoding ; wire-tap channel ; blockchain ; wireless communication network ; malicious node ; security protocol ; intrusion detection ; in-vehicle communication ; inter-vehicle communication ; optical communication ; security wireless ; visible light communication ; wireless optical communication ; convolutional neural network ; CNN ; counterfeit detection ; device fingerprinting ; distinct native attribute (DNA) ; information and communications technology ; multiple discriminant analysis ; MDA ; WirelessHART ; wireless communications security ; digital twin ; Internet of Things ; healthcare ; encryption ; privacy ; rural ; LPWAN ; secure localization ; positioning ; distance vector hop ; DV-Hop ; security attacks ; wireless sensor network ; security ; steganalysis ; covert channel ; steganography ; undetectability ; aggregator-based grouping ; wireless sensor networks ; encryption and decryption operations ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: The four-volume set LNCS 13350, 13351, 13352, and 13353 constitutes the proceedings of the 22ndt International Conference on Computational Science, ICCS 2022, held in London, UK, in June 2022.* The total of 175 full papers and 78 short papers presented in this book set were carefully reviewed and selected from 474 submissions. 169 full and 36 short papers were accepted to the main track; 120 full and 42 short papers were accepted to the workshops/ thematic tracks. *The conference was held in a hybrid format This is an open access book.
    Keywords: artificial intelligence ; communication systems ; computer networks ; computer systems ; computer vision ; correlation analysis ; data mining ; image analysis ; image processing ; machine learning ; network protocols ; neural networks ; numerical methods ; signal processing ; telecommunication systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Computational Intelligence (CI) is the theory, design, application, and development of biologically and linguistically motivated computational paradigms. Traditionally, the three main pillars of CI have been neural networks, fuzzy systems, and evolutionary computation. However, in time, many nature-inspired computing paradigms have evolved. Thus, CI is an evolving field, and, at present, in addition to the three main constituents, it encompasses computing paradigms such as ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a major role in developing successful intelligent systems, including games and cognitive developmental systems. Over the last few years, there has been an explosion of research on deep learning, specifically deep convolutional neural networks, and deep learning has become the core method for artificial intelligence. In fact, some of the most successful AI systems today are based on CI. Therefore, this reprint focuses on the theoretical study of computational intelligence and its applications.
    Keywords: artificial intelligence ; deep learning ; AlphaZero ; NoGo games ; reinforcement learning ; evolutionary algorithm ; convolutional neural network ; transfer learning ; image classification ; large-scale multiobjective optimization ; sparse unmixing ; hyperspectral image ; opponent exploitation ; no-limit Texas hold’em ; neuroevolution ; online update ; reliable evaluation strategy ; active–frozen memory model ; visual tracking ; evolutionary multitasking ; particle swarm optimization ; multipopulation optimization ; computational intelligence ; medical image segmentation ; convolutional neural networks ; weakly supervised segmentation ; attention mechanism ; HCNNs ; progressive deep learning ; disease screening ; multi-target tracking ; evolutionary optimization ; random finite set ; joint integrated probabilistic data association ; few-shot learning ; medical image classification ; spatial attention ; crop insect pest identification ; convolutional neural network (CNN) ; capsule network (CapsNet) ; multi-scale convolution-capsule network (MSCCN) ; image retrieval ; Transformer ; self-attention ; knowledge distillation ; hashing learning ; Kuroshio Extension Observatory ; sound speed profile ; self-organizing map ; circle chaotic map ; Levy flight ; nonlinear adaptive weight ; tuna swarm optimization ; quality of experience ; human perception ; electroencephalogram ; crop disease leaf image segmentation (CDLIS) ; U-Net ; dilated convolution ; lightweight multi-scale dilated U-Net (LWMSDU-Net) ; crystal structure algorithm ; golden sine algorithm ; levy flight ; engineering optimization problems ; people counting ; CSI ; cross-modal learning network ; graph neural network ; propagation mechanism ; data-driven method ; gastrointestinal stromal tumor ; semi-supervised learning ; self-training ; object detection ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer Nature Singapore
    Publication Date: 2024-04-14
    Description: This open access book provides a unique and state-of-the-art view on DNA nanotechnology with an eye toward future developments. Intended as a tribute to Nadrian C. Seeman, who founded the field of DNA nanotechnology, the content is an exciting mixture of technical and non-technical material, reviews, tutorials, perspectives, new findings, and open questions. The book aims to inspire current researchers to sit back and think about the big picture, while also enticing new researchers to enter the field. Most of all, the book captures voices from a unique moment in time: 40 years after the publication of the first paper that envisioned DNA nanotechnology. From this vantage point, what are the untold stories, the unspoken concerns, the underlying fundamental issues, the overlooked opportunities, and the unifying grand challenges? What will help us see more clearly, see more creatively, or see farther? What is transpiring right now that could pave the way for the future? To address these questions, leading researchers have contributed 22 chapters, grouped into five sections: perspectives, chemistry and physics, structures, biochemical circuits, and spatial systems. This book will be an important reference point in the field of DNA nanotechnology, both for established researchers looking to take stock of the field and its future, and for newcomers such as graduate students and researchers in other fields who are beginning to appreciate the power and applicability of its methods.
    Keywords: DNA nanotechnology ; DNA computing ; Natural computing ; Bio-inspired computing ; Information-based chemistry ; Molecular programming ; Self-assembly and self-organization ; Structure and function ; Computer-aided design ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBN Nanotechnology ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSB Biochemistry ; thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically, boundaries delimiting and interconnecting aggregates are at play. It is, therefore, crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests.
    Keywords: disinformation ; social networks ; bots ; model ; online public opinion ; group polarization ; influencing factors ; power relations ; eco-conservation ; high-quality development ; agent-based model (ABM) ; composite system ; balanced indicators ; modeling and simulation ; practical formal method ; multi-resolution ; discrete event system specification ; consensus groups ; agent-based model ; web of beliefs ; composite e-commerce platform ; dual differentiated ; product innovation ; product encroachment ; multi-agent simulation ; agile development ; earned value management ; task board ; agent-based simulation ; accounting framework ; agent ; automotive ; electro-mobility ; financial statement ; simulation ; stock flow consistency ; system dynamics ; deep reinforcement learning ; lane-free traffic ; autonomous driving ; internet of things (IoT) ; open multiagent systems ; smart grid ; engineering multiagent systems (EMASs) ; digital twin ; Cartesian genetic programming ; multi-agent system ; COHDA ; distributed optimization ; CMA-ES ; agent coordination ; multi-agent reinforcement learning ; centralized learning decentralized execution ; blockchain ; software ; infrastructure ; costs ; benefits ; evaluation ; multi-agent systems ; distributed machine learning ; hyperparameter tuning ; agent-based optimization ; random search ; path allocation ; fairness ; constraint optimization ; satellite constellation ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This reprint covers a wide range of topics related to collective intelligence, exploring the interplay between swarm intelligence, network intelligence, and other emerging technologies. The first set of chapters focuses on the behavior and mechanisms of swarming. One chapter describes a locust-inspired model of collective marching on rings, while another demonstrates the experimental validation of entropy-driven swarm exploration under sparsity constraints using sparse Bayesian learning. These studies provide new insights into the principles of swarming and its potential applications in fields such as robotics and mobile crowdsensing. The next set of chapters discusses the integration of swarm intelligence with other emerging technologies such as deep learning and graph theory. These studies show how swarm intelligence can be combined with other advanced technologies to solve complex problems and improve decision-making processes. The reprint also covers the topic of network intelligence, including the study of social network analysis, Twitter user activity, and crowd-sourced financial predictions. These studies provide insights into how network intelligence can be harnessed to understand social dynamics and improve decision-making processes in various domains. The reprint concludes with a chapter that proposes a generative design approach for the efficient mathematical modeling of complex systems.
    Keywords: generative design ; automated learning ; evolutionary learning ; co-design ; genetic programming ; human behavior ; socioeconomic status ; data analysis ; social media ; crowd-sourcing ; wisdom of the crowd ; social learning ; Bayesian models ; risk ; Docker Swarm ; leader election ; privilege escalation ; defense evasion ; cloud ; collective intelligence ; crowdsourcing ; policymaking ; public policy ; e-participation ; literature review ; deep learning ; cybersecurity ; artificial intelligence ; swarm intelligence ; adversarial AI ; information theory ; entropy ; models ; neural networks ; communication ; multi-agent ; deep reinforcement learning ; partial observability ; distributed estimation ; Sparse Bayesian Learning ; exploration ; swarm ; multi-agent systems ; consensus ; D-optimal design ; mobile crowdsensing ; UAV control ; graph network ; maximum-entropy learning ; mobile robotics ; swarms ; crowd dynamics ; natural algorithms ; locusts ; n/a ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: Optimization is present almost everywhere in real life, resulting in a wide spectrum of scientific and engineering areas with applications that can be formalized as optimization problems. This feature has fostered the development of research studies aiming to design and implement efficient optimization methods able to address the increasing complexity of applications that are intended to be solved. These studies are typically divided into two areas: one focuses on the theoretical development of advanced solution strategies through the perspective of tackling problems of increasing complexity; another toward developing problem-devoted techniques that aim to efficiently find high-quality solutions to specific applications drawn from a wide spectrum of areas (engineering, social sciences, biotechnologies, finances, etc.). The articles included in this reprint illustrate both types of studies. The reprint is a collection of all the articles accepted and published in the Special Issue titled "Mathematical Optimization and Evolutionary Algorithms with Applications” of the journal Mathematics. We hope that readers will benefit from the insights provided by these papers and contribute to the fast-paced growth of these areas. We also hope that the resulting mixture of methods, algorithms and applications for the treatment of complex optimization problems presented in this Special Issue, either through mathematical tools or metaheuristic algorithms, contributes to the development of research in this area.
    Keywords: mathematical optimization ; multi-objective problems ; multi-criteria optimization ; multi-scale optimization ; optimization of stochastic systems ; fuzzy optimization ; constrained optimization ; evolutionary algorithms ; heuristic algorithms ; differential evolution ; mathematical programming ; scheduling problems ; operations management ; recommendation systems ; applications in engineering, energies, materials, management, etc. ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-03-30
    Description: This collection of articles includes the latest results related to applications of dynamical systems in the mathematical modelling of engineering problems, such as those concerning power system dynamics, material science, energy systems, gas dynamical networks, etc.Its purpose is to bring together mathematicians with engineers and physicists, as well as other scientists. The articles accepted and included are of a high quality and have original research results.
    Keywords: Fractional Fornberg–Whitham equation ; variational iteration transform method ; Shehu decomposition method ; partial differential equation ; approximate solution ; Caputo’s operator ; Caputo fractional differential equation ; synthetic drugs ; stability ; optimal control ; Riemann–Liouville fractional derivative ; coupled system ; fractional order boundary conditions ; green function ; existence theory ; Ulam stability ; hybrid method ; trisection ; bisection ; false position ; Newton–Raphson ; secant ; dynamical systems ; higher-order controllers ; PID controller ; magnitude optimum ; controller tuning ; noise attenuation ; time-dependent dynamical systems ; quadratic first integrals ; Killing tensors ; kinetic metric ; Kepler potential ; oscillator ; Lane-Emden equation ; fractional calculus ; calculus of variations ; Euler–Lagrange equations ; isoperimetric problems ; holonomic problems ; higher-order derivatives ; nonlinear elasticity ; general barycentric coordinates ; energy minimisation ; Lagrange multipliers ; null-space method ; elasticity ; electroosmotic forces ; heat transfer ; Rabinowitsch fluid ; suspension ; mid-ranging ; valve position control ; input resetting control ; parallel control ; MISO ; robust control ; QFT ; frequency domain ; feedforward ; nash equilibria ; stochastic LQ differential games ; sampled-data controls ; equilibrium strategies ; optimal trajectories ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 31st European Symposium on Programming, ESOP 2022, which was held during April 5-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 21 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
    Keywords: automata theory ; computer programming ; computer systems ; databases ; distributed computer systems ; distributed systems ; embedded systems ; formal languages ; formal logic ; linguistics ; ontologies ; parallel processing systems ; program compilers ; programming languages ; semantics ; software design ; software engineering ; software quality ; verification ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering
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    Springer Nature | Springer
    Publication Date: 2022-03-16
    Description: This open access book focuses on Albanian internal and international female migration and places gender at the heart of postsocialist transformation. It explores the vulnerabilities that arise for female citizens from the contradictory policies produced by the Albanian state. By illuminating the intersection of gender and migration, it shows how Albanian women are likely to embed themselves in complex social relations and migration trajectories. By focusing on various cases – internal, international, return, economic and student female migrants – the book underlines that migration does not follow any kind of evolutionary development, according to which women go from 'traditional’ to ‘modern' gender relations. By providing a compelling account on the complex negotiations and tactics women employ to deal with gender inequalities, this book leads to a better understanding of gender and migration entanglements. It is a useful read to students, academics in migration and gender studies as well as social scientists and policy-makers in European countries.
    Keywords: Albanian female migration ; Gender relations and post-socialist transformations ; Internal and international female student migration ; Internal and international care chains ; Post-socialist migratory processes ; Tactics and strategies mobilised by women ; Informality and rudimentary welfare state ; Education as a platform for migration in Albania ; Invisibility of domestic care work sector in Albania ; Intersections of care, gender and migration regimes ; Gendered imaginaries of Albanian female migrants ; Albanian migrants filling the care gap in Italy and Greece ; Commercialization of care ; Social networks in post-socialist Albanian migration ; Open access ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCP Political economy ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-04
    Description: This open access book describes Smittestopp, the first Norwegian system for digital contact tracing of Covid-19 infections, which was developed in March and early April 2020. The system was deployed after five weeks of development and was active for a little more than two months, when a drop in infection levels in Norway and privacy concerns led to shutting it down. The intention of this book is twofold. First, it reports on the design choices made in the development phase. Second, as one of the only systems in the world that collected population data into a central database and which was used for an entire population, we can share experience on how the design choices impacted the system's operation. By sharing lessons learned and the challenges faced during the development and deployment of the technology, we hope that this book can be a valuable guide for experts from different domains, such as big data collection and analysis, application development, and deployment in a national population, as well as digital tracing.
    Keywords: digital contract tracing ; Covid-19 ; public health ; pandemic ; BLE ; GPS ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNS Epidemiology and Medical statistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2024-04-02
    Description: This open access book explores the role of religion in England's overseas companies and the formation of English governmental identity abroad in the seventeenth century. Drawing on research into the Virginia, East India, Massachusetts Bay, Plymouth, New England and Levant Companies, it offers a comparative global assessment of the inextricable links between the formation of English overseas government and various models of religious governance across England's emerging colonial empire. While these approaches to governance varied from company to company, each sought to regulate the behaviour of their personnel, as well as the numerous communities and faiths which fell within their jurisdiction. This book provides a crucial reassessment of the seventeenth-century foundations of British imperial governance.
    Keywords: Open access ; British Empire ; Colonialism ; Overseas trading companies ; Religious governance ; Imperial government ; thema EDItEUR::N History and Archaeology::NH History::NHD European history ; thema EDItEUR::N History and Archaeology::NH History::NHT History: specific events and topics::NHTQ Colonialism and imperialism ; thema EDItEUR::Q Philosophy and Religion::QR Religion and beliefs::QRA Religion: general::QRAX History of religion
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-14
    Description: The present volume collects the contributions selected for publication in the Special Issue entitled "Microlocal and Time-Frequency Analysis" of the journal Mathematics, edited by Elena Cordero and S. Ivan Trapasso over 2020 and 2021.
    Keywords: pseudodifferential operators ; Gevrey regularity ; sharp Gårding inequality ; p-evolution equations ; ultradifferentiable functions ; ultradistributions ; extended Gevrey regularity ; boundary values of analytic functions ; wave front sets ; Rio Papaloapan Bridge ; vibration signals ; damage identification ; wavelet energy accumulation method ; admissibility condition ; the continuous wavelet transform ; inversion formula ; semi-discrete wavelet transform ; tight frames ; covriance matrix ; polar duality ; uncertainty principle ; reconstruction problem ; BBM equation ; ill-posedness ; Fourier amalgam spaces ; Wiener amalgam spaces ; Fourier–Lebesgue spaces ; modulation spaces ; bounded measures ; convolution ; homogeneous Banach spaces ; integrated group representation ; Segal algebra ; Wiener amalgam space ; bounded uniform partition of unity ; locally compact groups ; thema EDItEUR::U Computing and Information Technology ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book provides an in-depth description of the EU project European Language Grid (ELG). Its motivation lies in the fact that Europe is a multilingual society with 24 official European Union Member State languages and dozens of additional languages including regional and minority languages. The only meaningful way to enable multilingualism and to benefit from this rich linguistic heritage is through Language Technologies (LT) including Natural Language Processing (NLP), Natural Language Understanding (NLU), Speech Technologies and language-centric Artificial Intelligence (AI) applications. The European Language Grid provides a single umbrella platform for the European LT community, including research and industry, effectively functioning as a virtual home, marketplace, showroom, and deployment centre for all services, tools, resources, products and organisations active in the field. Today the ELG cloud platform already offers access to more than 13,000 language processing tools and language resources. It enables all stakeholders to deposit, upload and deploy their technologies and datasets. The platform also supports the long-term objective of establishing digital language equality in Europe by 2030 – to create a situation in which all European languages enjoy equal technological support. This is the very first book dedicated to Language Technology and NLP platforms. Cloud technology has only recently matured enough to make the development of a platform like ELG feasible on a larger scale. The book comprehensively describes the results of the ELG project. Following an introduction, the content is divided into four main parts: (I) ELG Cloud Platform; (II) ELG Inventory of Technologies and Resources; (III) ELG Community and Initiative; and (IV) ELG Open Calls and Pilot Projects.
    Keywords: Language technology platform ; Language processing platform ; LT platform ; NLP platform ; Language technology directory ; Language processing directory ; LT directory ; NLP directory ; Language technology repository ; Language processing repository ; LT repository ; NLP repository ; Language data repository ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation ; thema EDItEUR::C Language and Linguistics::CF Linguistics::CFX Computational and corpus linguistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    De Gruyter | Birkhäuser
    Publication Date: 2024-04-14
    Description: The theory of Co-Corporeality is based on a conception of the built environment as a biological entity that opens up a space for coexistence and interaction between humans and microbial life. Based on design-led research, this book explores how we can develop environments for a multispecies world. It focuses on the agency of both human and nonhuman actors. New sensor tools enable observation of and interaction between these different actors. Co-Corporeality links microbiology to material science, artificial intelligence, and architecture. The focus is on how microbial activity can create new protoarchitectural materials, how living systems can be integrated into architecture and cooperate along different time scales.
    Keywords: Architecture ; design research ; artificial intelligence ; microbiology ; artistic research ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::Y Children’s, Teenage and Educational::YP Educational material::YPA Educational: Arts, general::YPAB Educational: Art and design ; thema EDItEUR::A The Arts::AM Architecture::AMA Theory of architecture
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    Springer Nature | Springer International Publishing
    Publication Date: 2022-02-15
    Description: This open access book provides an analysis of the functioning, consequences and inherent limitations of internalised immigration control. By adopting the perspective of irregular residents as well as local service providers, the book sheds new light on the intricate mechanisms that either help or hinder the diffusion of immigration control into concrete institutional settings, like schools or hospitals. A simple and innovative analytical framework enables the systematic comparison of three different spheres of service provision across two distinct local as well as also national contexts. This is necessary to understand the complex interplay between formal law and policy, the intrinsic rules and logics operating within institutions, and the ethical or practical obligations and constraints attached to particular roles and professions. Based on empirical findings and rigorous analysis, the book argues that internalised control is part of the problem that irregular migration poses for society, rather than constituting a potential solution to it.
    Keywords: Micro-management irregular migration ; Undocumented illegal migration micro-management ; Internal immigration control in London and Barcelona ; Internal immigration control in Spain and the UK ; Immigration control through welfare provision ; Access to public services for irregular migrants ; Irregular migration and residence in Spain and the UK ; Public service providers exercising immigration control ; Migrants inclusion and exclusion from public services ; Internal borders and bordering practices ; Local implementation of immigration control policy ; Civil servants and immigration control enforcement ; Immigration control and enforcement in cities ; Immigration control enforcement at the local level ; Local government and irregular undocumented migrants ; Open access ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration
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    Springer Nature | Springer Singapore
    Publication Date: 2024-03-29
    Description: This open access book is based on the research outputs of China Council for International Cooperation on Environment and Development (CCICED) in 2020. It covers major topics of Chinese and international attention regarding green development, such as climate, biodiversity, ocean, BRI, urbanization, sustainable production and consumption, technology, finance, value chain, and so on. It also looks at the progress of China’s environmental and development policies,and the impacts from CCICED. This is a highly informative and carefully presented book, providing insight for policy makers in environmental issues.
    Keywords: Open access ; Climate Change ; Biodiversity Conservation ; BRI Green Development ; Green Value Chain ; Green Finance ; Integrated Ocean Governance ; Green Consumption ; Green Urbanization Strategy ; Ecological Capital Accounting in Yangtze River ; Major Green Technology ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPQ Central / national / federal government::JPQB Central / national / federal government policies ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNF Environmental management
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    Springer Nature | Springer International Publishing
    Publication Date: 2022-01-15
    Description: This Open Access book presents a multidisciplinary perspective to increase our understanding of climate policies that are rooted in the natural moral inclinations of people, families and firms. Which policies prevent a widening gap between higher and lower educated people? Which policy instruments are there, and how could they be used? What is the role of free entrepreneurship? In this book, academics from different fields have brought together their knowledge and expertise to reflect on the following three questions: How are the polarised positions on climate change of different groups related to their moral outlook, world view, tradition, cultural norms and values? What is a good distribution of responsibilities between firms, households and the government relating to climate change? What are possible avenues where the climate policies are a natural extension of moral inclinations of families and firms, such as the stewardship for the natural environment and the climate? This book will be of interest to policy and decision-makers, students of social and behavioural sciences, and those interested climate change policies and how this effects our lives
    Keywords: Climate change policy ; Responsible citizenship ; Free entrepreneurship ; Natural extension of moral inclinations ; Distribution of moral inclinations ; Stewardship for the natural environment and climate ; Open access ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPQ Central government::JPQB Central government policies ; bic Book Industry Communication::J Society & social sciences::JM Psychology::JMH Social, group or collective psychology ; bic Book Industry Communication::J Society & social sciences::JK Social services & welfare, criminology::JKS Social welfare & social services::JKSN Social work
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-03-29
    Description: This open access book provides insight on how to interpret capability in ageing – one’s individual ability to perform actions in order to reach goals one has reason to value – from a multidisciplinary approach. With for the first time in history there being more people in the world aged 60 years and over than there are children below the age of 5, the book describes this demographic trends as well as the large global challenges and important societal implications this will have such as a worldwide increase in the number of persons affected with dementia, and in the ratio of retired persons to those still in the labor market. Through contributions from many different research areas, it discussed how capability depends on interactions between the individual (e.g. health, genetics, personality, intellectual capacity), environment (e.g. family, friends, home, work place), and society (e.g. political decisions, ageism, historical period). The final chapter summarizes the differences and similarities in these contributions. As such this book provides an interesting read for students, teachers and researchers at different levels and from different fields interested in capability and multidisciplinary research.
    Keywords: Open access ; Centre for Ageing and Health in Sweden ; Time trends and capability ; Work/retirement and capability ; Cognition and capability in older adults ; Health, frailty and capability in older adults ; Multidisciplinary research methods ; Participation, representation of older adults ; Self-determination and capability of older adults ; Capability - ability to perform actions in order to reach goals ; Cumulative advantage/disadvantage ; Capability in the ageing process ; Overall functioning and participation in societal life ; How to interpret capability in ageing ; Persons affected with dementia ; Ratio of retired persons to those still in the labor market ; Vast increase in the population aged 〉65 years ; Understanding ageing through a multidisciplinary approach ; AgeCap ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCP Political economy ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 25th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2022, which was held during April 4-6, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 23 regular papers presented in this volume were carefully reviewed and selected from 77 submissions. They deal with research on theories and methods to support the analysis, integration, synthesis, transformation, and verification of programs and software systems.
    Keywords: Categorical models and logics ; language theory, automata, and games ; modal, spatial, and temporal logics ; type theory and proof theory ; concurrency theory and process calculi ; rewriting theory ; semantics of programming languages ; program analysis ; logics of programming ; software specification and refinement ; models of concurrent systems ; emerging models of computation ; logical aspects of computational complexity ; correctness, transformation, and verification ; models of software security ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBC Mathematical foundations ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 25th International Conference on Fundamental Approaches to Software Engineering, FASE 2022, which was held during April 4-5, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 17 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. The proceedings also contain 3 contributions from the Test-Comp Competition. The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications.
    Keywords: architecture verification and validation ; distributed computer systems ; embedded systems ; empirical software validation ; formal methods ; model checking ; model-driven software engineering ; object-oriented programming ; program analysis, ; software performance ; software quality ; software testing and debugging ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-04
    Description: This is open access book provides plenty of pleasant mathematical surprises. There are many fascinating results that do not appear in textbooks although they are accessible with a good knowledge of secondary-school mathematics. This book presents a selection of these topics including the mathematical formalization of origami, construction with straightedge and compass (and other instruments), the five- and six-color theorems, a taste of Ramsey theory and little-known theorems proved by induction. Among the most surprising theorems are the Mohr-Mascheroni theorem that a compass alone can perform all the classical constructions with straightedge and compass, and Steiner's theorem that a straightedge alone is sufficient provided that a single circle is given. The highlight of the book is a detailed presentation of Gauss's purely algebraic proof that a regular heptadecagon (a regular polygon with seventeen sides) can be constructed with straightedge and compass. Although the mathematics used in the book is elementary (Euclidean and analytic geometry, algebra, trigonometry), students in secondary schools and colleges, teachers, and other interested readers will relish the opportunity to confront the challenge of understanding these surprising theorems.
    Keywords: open access high school mathematics book ; origami book ; elementary mathematics book ; mathematics circle book ; Moti Ben-Ari mathematical surprises ; what is mathematics book ; mathematics independent study ; mathematics problems book ; thema EDItEUR::P Mathematics and Science::PB Mathematics ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 64
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    Springer Nature | Springer International Publishing
    Publication Date: 2022-02-15
    Description: This open access book investigates the complexity and the modalities of securitization of migration and border control at the EU level. It discusses and compares how different EU institutions and agencies have been deploying different logics of security, e.g. humanitarianism or management of risk, while framing increased migratory flows and so called migration crisis as a security problem. The book argues that the (re)development of EU migration and border control policies in response to increased migratory flows of 2015 have revealed an increasingly tangled nature of securitization of migration in the EU. This is reflected in the intertwining of security logics where migrants and human mobility tend to be securitized through different, sometimes multiple, interpretative lenses at different stages of policy framing. From a theoretical point of view, the book develops a fresh analytical perspective that further contributes to burgeoning discussion on securitization theory. By bridging the literature on policy framing and securitization it makes a significant contribution to the debates on both securitization and migration. As such this book is of great interest to students, academics, policy makers and all those working in the fields of EU politics, migration, security, and international relations.
    Keywords: Open access ; Migration crisis in the EU ; Increased migratory movements in the EU ; Refugee crisis in the EU ; Immigration crisis in the EU ; Securitization theory ; Securitization of migration in the EU ; Migration and security in the EU ; EU security discourses ; Policy discourse on migration ; EU institutional discourses on migration ; EU border security ; EU migration policy ; EU security logics ; Migration and humanitarianism in the EU ; Human security and migration in the EU ; Migration and resilience in the EU ; Migration and risk management in the EU ; Policy and security framing ; EU institutions and securitization of migration ; bic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFF Social issues & processes::JFFN Migration, immigration & emigration ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPP Public administration
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: From fundamental concepts and results to recent advances in computational social choice, this open access book provides a thorough and in-depth look at multi-winner voting based on approval preferences. The main focus is on axiomatic analysis, algorithmic results and several applications that are relevant in artificial intelligence, computer science and elections of any kind. What is the best way to select a set of candidates for a shortlist, for an executive committee, or for product recommendations? Multi-winner voting is the process of selecting a fixed-size set of candidates based on the preferences expressed by the voters. A wide variety of decision processes in settings ranging from politics (parliamentary elections) to the design of modern computer applications (collaborative filtering, dynamic Q&A platforms, diversity in search results, etc.) share the problem of identifying a representative subset of alternatives. The study of multi-winner voting provides the principled analysis of this task. Approval-based committee voting rules (in short: ABC rules) are multi-winner voting rules particularly suitable for practical use. Their usability is founded on the straightforward form in which the voters can express preferences: voters simply have to differentiate between approved and disapproved candidates. Proposals for ABC rules are numerous, some dating back to the late 19th century while others have been introduced only very recently. This book explains and discusses these rules, highlighting their individual strengths and weaknesses. With the help of this book, the reader will be able to choose a suitable ABC voting rule in a principled fashion, participate in, and be up to date with the ongoing research on this topic.
    Keywords: Multi-Winner Voting ; Computational Social Choice ; Approval-Based Committee (ABC) Voting ; ABC Rules ; Proportionality ; Fairness Axioms ; Strategic Voting ; Collective Decisions ; Artificial Intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    De Gruyter | Birkhäuser
    Publication Date: 2024-04-14
    Description: The theory of Co-Corporeality is based on a conception of the built environment as a biological entity that opens up a space for coexistence and interaction between humans and microbial life. Based on design-led research, this book explores how we can develop environments for a multispecies world. It focuses on the agency of both human and nonhuman actors. New sensor tools enable observation of and interaction between these different actors. Co-Corporeality links microbiology to material science, artificial intelligence, and architecture. The focus is on how microbial activity can create new protoarchitectural materials, how living systems can be integrated into architecture and cooperate along different time scales.
    Keywords: Architecture ; design research ; artificial intelligence ; microbiology ; artistic research ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::Y Children’s, Teenage and Educational::YP Educational material::YPA Educational: Arts, general::YPAB Educational: Art and design ; thema EDItEUR::A The Arts::AM Architecture::AMA Theory of architecture
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-05
    Description: This open access book reflects on matters of social and ethical concern raised in the daily practices of those working in and around precision oncology. Each chapter addresses the experiences, concerns and issues at stake for people who work in settings where precision oncology is practiced, enacted, imagined or discussed. It subsequently discusses and analyses bioethical dilemmas, scientific challenges and economic trade-offs, the need for new policies, further technological innovation, social work, as well as phenomenological research. This volume takes a broad actor-centred perspective as, whenever cancer is present, the range of actors with issues at stake appears almost unlimited. This perspective and approach opens up the possibility for further in-depth and diverse questions, posed by the actors themselves, such as: How are cancer researchers navigating biological uncertainties? How do clinicians and policy-makers address ethical dilemmas around prioritisation of care? What are the patients’ experiences with, and hopes for, precision oncology? How do policy-makers and entrepreneurs envisage precision oncology? These questions are of great interest to a broad audience, including cancer researchers, oncologists, policy-makers, medical ethicists and philosophers, social scientists, patients and health economists.
    Keywords: cancer biomarkers ; Sociology of medicine ; Science and Technology Studies ; Oncology ; Philosophy of medicine ; precision oncology ; personalised cancer treatments ; health technology assessment ; Open access ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAD Bioethics ; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVJ Health economics
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access two-volume set LNCS 13371 and 13372 constitutes the refereed proceedings of the 34rd International Conference on Computer Aided Verification, CAV 2022, which was held in Haifa, Israel, in August 2022. The 40 full papers presented together with 9 tool papers and 2 case studies were carefully reviewed and selected from 209 submissions. The papers were organized in the following topical sections: Part I: Invited papers; formal methods for probabilistic programs; formal methods for neural networks; software Verification and model checking; hyperproperties and security; formal methods for hardware, cyber-physical, and hybrid systems. Part II: Probabilistic techniques; automata and logic; deductive verification and decision procedures; machine learning; synthesis and concurrency. This is an open access book.
    Keywords: architecting ; architecture verification and validation ; artificial intelligence ; computer programming ; computer science ; computer systems ; databases ; distributed computer systems ; embedded systems ; engineering ; formal languages ; formal logic ; linguistics ; mathematics ; model checking ; software architecture ; software design ; software engineering ; software quality ; theoretical computer science ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems.
    Keywords: embedded systems ; formal languages and automata theory ; Formal methods and theory of security ; Machine learning ; Modeling and simulation ; Semantics and reasoning ; software and hardware verification ; specification and verification techniques ; static and dynamic program analysis ; Symbolic and algebraic manipulation ; system construction and transformation techniques ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPJ Coding theory and cryptology ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems.
    Keywords: formal languages and automata theory ; Formal methods and theory of security ; Machine learning ; Modeling and simulation ; Semantics and reasoning ; signal processing ; software and hardware verification ; specification and verification techniques ; Symbolic and algebraic manipulation ; system construction and transformation techniques ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2022-02-15
    Description: This open access book explores the digital transformation of small and rural towns, in particular, how to measure the evolution and development of digital towns. In addition to access to resources, competition from urban and global markets, and population trends, rural communities present lesser access and use of digital technologies and have lower digital competencies and skills than their urban counterparts. Consequently, they experience less beneficial outcomes from increased digitalisation than urban areas. This book defines what a digital town is and explores digitalisation from the perspective of the four basic economic sectors in towns - individuals and households, businesses, the public sector, and civil society - and three types of enabling infrastructure - digital connectivity, education, and governance. Particular attention is paid to how digitalisation efforts are measured by intergovernmental and international organisations for each sector and enabling infrastructure. The book concludes with a Digital Town Readiness Framework that offers local communities, policymakers, and scholars an initial set of indicators upon which to develop digital town initiatives, and measure progress. For those ready to embrace the opportunity, this book is a pathfinder on the road to a more equitable and impactful digital society and digital economy.
    Keywords: digital policy ; public policy ; urban rural divide ; broadband ; connectivity ; Digital Citizen ; technology management ; Open access ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management ; bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems
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    Springer Nature | Springer International Publishing
    Publication Date: 2021-02-10
    Description: This third and last open access volume in the series takes the perspective of non-EU countries on immigrant social protection. By focusing on 12 of the largest sending countries to the EU, the book tackles the issue of the multiple areas of sending state intervention towards migrant populations. Two “mirroring” chapters are dedicated to each of the 12 non-EU states analysed (Argentina, China, Ecuador, India, Lebanon, Morocco, Russia, Senegal, Serbia, Switzerland, Tunisia, Turkey). One chapter focuses on access to social benefits across five core policy areas (health care, unemployment, old-age pensions, family benefits, guaranteed minimum resources) by discussing the social protection policies that non-EU countries offer to national residents, non-national residents, and non-resident nationals. The second chapter examines the role of key actors (consulates, diaspora institutions and home country ministries and agencies) through which non-EU sending countries respond to the needs of nationals abroad. The volume additionally includes two chapters focusing on the peculiar case of the United Kingdom after the Brexit referendum. Overall, this volume contributes to ongoing debates on migration and the welfare state in Europe by showing how non-EU sending states continue to play a role in third country nationals’ ability to deal with social risks. As such this book is a valuable read to researchers, policy makers, government employees and NGO’s.
    Keywords: Social Sciences, general ; Microeconomics ; Social Policy ; Sociology of Migration ; Open access ; Non-EU countries ; Immigrant social protection ; Migrant populations ; Argentina, China, Ecuador, India ; Lebanon, Morocco, Russia ; Senegal, Serbia, Switzerland ; Tunisia, Turkey ; Health care ; Unemployment ; Old-age pensions ; Guaranteed minimum resources ; Family benefits ; Migration and integration ; Sending states ; Society & Social Sciences ; Sociology ; Political economy ; Social & ethical issues ; bic Book Industry Communication::J Society & social sciences ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCC Microeconomics ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCP Political economy
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  • 73
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 75
    Publication Date: 2024-04-06
    Description: fuzzy arithmetic; defuzzyfication; fuzzy prediction models; analysis; trend processing; uncertainty modeling; propagation of uncertainty; Kosinski’s fuzzy numbers
    Keywords: fuzzy arithmetic ; defuzzyfication ; fuzzy prediction models ; analysis ; trend processing ; uncertainty modeling ; propagation of uncertainty ; Kosinski’s fuzzy numbers ; thema EDItEUR::P Mathematics and Science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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    Springer Nature | Springer
    Publication Date: 2024-04-04
    Description: This open access book – as the title suggests – explores some of the historical roots and epistemological ramifications of perspectivism. Perspectivism has recently emerged in philosophy of science as an interesting new position in the debate between scientific realism and anti-realism. But there is a lot more to perspectivism than discussions in philosophy of science so far have suggested. Perspectivism is a much broader view that emphasizes how our knowledge (in particular our scientific knowledge of nature) is situated; it is always from a human vantage point (as opposed to some Nagelian "view from nowhere"). This edited collection brings together a diverse team of established and early career scholars across a variety of fields (from the history of philosophy to epistemology and philosophy of science). The resulting nine essays trace some of the seminal ideas of perspectivism back to Kant, Nietzsche, the American Pragmatists, and Putnam, while the second part of the book tackles issues concerning the relation between perspectivism, relativism, and standpoint theories, and the implications of perspectivism for epistemological debates about veritism, epistemic normativity and the foundations of human knowledge.
    Keywords: Philosophy of Science ; Epistemology ; Perspectival realism ; Ernst Sosa on virtue perspectivism ; Conceptual relativism ; Standpoint epistemology ; Scientific understanding ; Explanatory perspectivism ; Putnam’s naturalism ; American Pragmatists on contextualism ; Nietzsche on perspectivism ; Kant on perspectivism ; anti-realism ; Nagelian ; Epistemic Circularity ; Putnam ; Critique of Pure Reason ; contextualism ; scientific knowledge of nature ; Carnap ; Open access ; Philosophy of science ; Philosophy: epistemology & theory of knowledge ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of science ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTK Philosophy: epistemology and theory of knowledge
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  • 77
    Publication Date: 2024-04-14
    Description: artificial intelligence; big data; cloud computing; communication; computer architecture; computer science; computer systems; data management; databases; hardware; High-Performance Computing (HPC); information management; map-reduce; processors; programming languages; semantics; wireless telecommunication systems
    Keywords: artificial intelligence ; big data ; cloud computing ; communication ; computer architecture ; computer science ; computer systems ; data management ; databases ; hardware ; High-Performance Computing (HPC) ; information management ; map-reduce ; processors ; programming languages ; semantics ; wireless telecommunication systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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    Springer Nature | Springer
    Publication Date: 2021-02-10
    Description: This open access methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an interdisciplinary research community. Due to the complex structure of the data, analyses with PIAAC datasets are very challenging. To ensure the quality and significance of these data analyses, it is necessary to instruct users in the correct handling of the data. This methodological book provides a standardised approach to successfully implementing these data analyses. It contains examples of and tools for the analysis of the PIAAC data using different statistical approaches and software, and it offers perspectives from various disciplines. The contributing authors have hands-on experience of using PIAAC data, and/or they have conducted data analysis workshops with these data.
    Keywords: Assessment, Testing and Evaluation ; Statistics for Social Sciences, Humanities, Law ; Education Economics ; International and Comparative Education ; Education ; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy ; PIAAC data ; Large-scale assessment ; Data analysis ; Plausible values ; International comparison ; Key cognitive skills ; Literacy of adult population ; Numeracy of adult population ; Analysis with PIAAC datasets ; Stata ; R software ; Open access ; Education: examinations & assessment ; Social research & statistics ; Economics of specific sectors ; bic Book Industry Communication::J Society & social sciences::JN Education::JNK Organization & management of education::JNKD Examinations & assessment ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBC Social research & statistics ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics ; bic Book Industry Communication::J Society & social sciences::JN Education
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-14
    Description: A comprehensive overview of sensors technology is provided in specific leading areas. Researchers, engineers and professionals on industries can find advanced technologies, devices, insights and solutions for a broad range of applications, including: • Piezoelectric power transducers • Multisensory for veins detection for robotic-based catheters insertion • Robot-sensor network cooperation for SLAM • Wind speed influences on RGB-D images in trees • Spectrophotometer for physiopathy detection in chickens • Radon gas and ionization detection • Vibrations measurements in robots • Architectures for multisensor intelligent robots • Ultrasound for tissue characterization • Active imaging model • Image-based for crack detection in tunnels • Wireless sensor nodes for energy harvesting, industrial monitoring, concrete cure • Vibroacoustic Impact on the Architectonic Heritage • Sensors motion capture in wearables • Torsional wave sensor • Model-based non-rigid tracking • Stair-Climbing Mobility • IoT-based people monitoring • Laser Speckle System • Odometric in an autonomous electric cart • New control paradigms • Concentric electrodes for ECG and intestinal exploration • Trusted virtual sensors • Thermo-Hygrometric measurements in archaeology • Intensive care unit • Multi-beam Lidar 3D scan • Hyperspectral Imaging in brain tumor • Crowdsensing in smart cities • Strain method to detect tires’ loss • Optical force sensor • Portable sensor for substance concentration measurements • High-Frequency content in Human QRS complexes • Fusion of proximity sensors data • Electro-magnetic acoustic system • Computer vision on aerial robots for surface inspection • Dual-reflectarray antennas
    Keywords: QA75.5-76.95 ; TK1-9971 ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Springer Nature
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 8th International Conference on Principles of Security and Trust, POST 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2019. The 10 papers presented in this volume were carefully reviewed and selected from 27 submissions. They deal with theoretical and foundational aspects of security and trust, including on new theoretical results, practical applications of existing foundational ideas, and innovative approaches stimulated by pressing practical problems.
    Keywords: Computer science ; Computer security ; Software engineering ; Artificial intelligence ; Computer system failures ; Computers ; Computers ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UR Computer security ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Springer Nature | Springer
    Publication Date: 2021-02-10
    Description: This open access book assembles landmark studies on divorce and separation in European countries, and how this affects the life of parents and children. It focuses on four major areas of post-separation lives, namely (1) economic conditions, (2) parent-child relationships, (3) parent and child well-being, and (4) health. Through studies from several European countries, the book showcases how legal regulations and social policies influence parental and child well-being after divorce and separation. It also illustrates how social policies are interwoven with the normative fabric of a country. For example, it is shown that father-child contact after separation is more intense in those countries which have adopted policies that encourage shared parenting. Correspondingly, countries that have adopted these regulations are at the forefront of more egalitarian gender role attitudes. Apart from a strong emphasis on the legal and social policy context, the studies in this volume adopt a longitudinal perspective and situate post-separation behaviour and well-being in the life course. The longitudinal perspective opens up new avenues for research to understand how behaviour and conditions prior or at divorce and separation affect later behaviour and well-being. As such this book is of special appeal to scholars of family research as well as to anyone interested in the role of divorce and separation in Europe in the 21st century.
    Keywords: Life course ; Population Economics ; Quality of Life Research ; Sociology of Family, Youth and Aging ; European Politics ; Life Course ; Open access ; Separation ; Divorce ; Well-being ; Parent-child relationships ; post-separation families ; Parental and Child well-being ; economic conditions after divorce ; Sociology ; Political economy ; Population & demography ; Personal & public health ; Public health & preventive medicine ; Sociology: family & relationships ; Politics & government ; Europe ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCP Political economy ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBN Public health & preventive medicine::MBNH Personal & public health ; bic Book Industry Communication::J Society & social sciences::JH Sociology & anthropology::JHB Sociology::JHBK Sociology: family & relationships ; bic Book Industry Communication::J Society & social sciences::JP Politics & government
    Language: English
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  • 82
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-14
    Description: This open access book answers two central questions: firstly, is it at all possible to verify electronic equipment procured from untrusted vendors? Secondly, can I build trust into my products in such a way that I support verification by untrusting customers? In separate chapters the book takes readers through the state of the art in fields of computer science that can shed light on these questions. In a concluding chapter it discusses realistic ways forward. In discussions on cyber security, there is a tacit assumption that the manufacturer of equipment will collaborate with the user of the equipment to stop third-party wrongdoers. The Snowden files and recent deliberations on the use of Chinese equipment in the critical infrastructures of western countries have changed this. The discourse in both cases revolves around what malevolent manufacturers can do to harm their own customers, and the importance of the matter is on par with questions of national security. This book is of great interest to ICT and security professionals who need a clear understanding of the two questions posed in the subtitle, and to decision-makers in industry, national bodies and nation states.
    Keywords: Privacy ; Computer Engineering ; Management of Computing and Information Systems ; Governance and Government ; R & D/Technology Policy ; Computer Hardware ; IT Operations ; Economics ; cyber security ; IT management ; computer science ; digital vulnerability ; open access ; Privacy & data protection ; Information architecture ; Maintenance & repairs ; Political structure & processes ; Research & development management ; thema EDItEUR::U Computing and Information Technology::UR Computer security::URD Privacy and data protection ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZM Information architecture ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPH Political structure and processes ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques::KJMV Management of specific areas::KJMV6 Research and development management
    Language: English
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  • 83
    Publication Date: 2024-04-14
    Description: computer science; algorithms; visualization; software; programming
    Keywords: computer science ; algorithms ; visualization ; software ; programming ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 84
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    Springer Nature | Apress
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 85
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 86
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    Springer Nature | Springer Singapore
    Publication Date: 2024-03-29
    Description: In this open access publication it is shown, that sustainable low carbon development is a transformative process that constitutes the shifting from the initially chosen or taken pathway to another pathway as goals have been re-visited and revised to enable the system to adapt to changes. However, shifting entails transition costs that are accrued through the effects of lock-ins that have framed decisions and collective actions. The uncertainty about these costs can be overwhelming or even disruptive. This book aims to provide a comprehensive and integrated analytical framework that promotes the understanding of transformation towards sustainability. The analysis of this book is built upon negotiative perspectives to help define, design, and facilitate collective actions in order to execute the principles of sustainability.
    Keywords: Political Science ; Transformation ; Sustainable Development ; Negotiations ; Transformative Pathways ; Environmental and Climate Politics ; Open access ; Political science & theory ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPA Political science & theory ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory
    Language: English
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  • 87
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    Springer Nature | Apress
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 88
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access book highlights concepts discussed at two international conferences that brought together world-renowned scientists to advance the science of potassium (K) recommendations for crops. There was general agreement that the potassium recommendations currently in general use are oversimplified, outdated, and jeopardize soil, plant, and human health. Accordingly, this book puts forward a significantly expanded K cycle that more accurately depicts K inputs, losses and transformations in soils. This new cycle serves as both the conceptual basis for the scientific discussions in this book and a framework upon which to build future improvements. Previously used approaches are critically reviewed and assessed, not only for their relevance to future enhancements, but also for their use as metrics of sustainability. An initial effort is made to link K nutrition in crops and K nutrition in humans. The book offers an invaluable asset for graduate students, educators, industry scientists, data scientists, and advanced agronomists.
    Keywords: Agriculture ; Plant Biochemistry ; Soil Science & Conservation ; Applied Ecology ; Soil Science ; Bioavailable Potassium ; Fertilizer Management ; Plant Nutrition ; Potash ; Soil Chemistry ; Sustainability ; Open access ; Agricultural science ; Botany & plant sciences ; Biochemistry ; Sedimentology & pedology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PST Botany and plant sciences ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences::RBG Geology, geomorphology and the lithosphere::RBGB Sedimentology and pedology ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNC Applied ecology
    Language: English
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  • 89
    Publication Date: 2024-04-14
    Description: computer architecture; computer software selection and evaluation; formal logic; formal methods; model checker; model checking; multi core processors; program compilers; programming languages; semantics; software engineering; specifications; state space; verification
    Keywords: computer architecture ; computer software selection and evaluation ; formal logic ; formal methods ; model checker ; model checking ; multi core processors ; program compilers ; programming languages ; semantics ; software engineering ; specifications ; state space ; verification ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 90
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2024-04-08
    Description: This open access book discusses individual, collective, and institutional responsibilities with regard to vaccination from the perspective of philosophy and public health ethics. It addresses the issue of what it means for a collective to be morally responsible for the realisation of herd immunity and what the implications of collective responsibility are for individual and institutional responsibilities. The first chapter introduces some key concepts in the vaccination debate, such as ‘herd immunity’, ‘public goods’, and ‘vaccine refusal’; and explains why failure to vaccinate raises certain ethical issues. The second chapter analyses, from a philosophical perspective, the relationship between individual, collective, and institutional responsibilities with regard to the realisation of herd immunity. The third chapter is about the principle of least restrictive alternative in public health ethics and its implications for vaccination policies. Finally, the fourth chapter presents an ethical argument for unqualified compulsory vaccination, i.e. for compulsory vaccination that does not allow for any conscientious objection. The book would appeal both philosophers interested in public health ethics and the general public interested in the philosophical underpinning of different arguments about our moral obligations with regard to vaccination.
    Keywords: Open access ; medical ethics ; public health ethics ; vaccination policies ; policy making ; moral responsibility ; bic Book Industry Communication::H Humanities::HP Philosophy::HPQ Ethics & moral philosophy ; bic Book Industry Communication::M Medicine ; bic Book Industry Communication::M Medicine::MB Medicine: general issues ; bic Book Industry Communication::M Medicine::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics & professional conduct ; bic Book Industry Communication::V Health & personal development::VF Family & health::VFD Popular medicine & health ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::M Medicine and Nursing ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBD Medical profession::MBDC Medical ethics and professional conduct ; thema EDItEUR::V Health, Relationships and Personal development::VF Family and health::VFD Popular medicine and health
    Language: English
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  • 91
    Publication Date: 2021-02-10
    Description: This open access book examines the multiple intersections between national and international courts in the field of investment protection, and suggests possible modes for regulating future jurisdictional interactions between domestic courts and international tribunals. The current system of foreign investment protection consists of more than 3,000 international investment agreements (IIAs), most of which provide for investment arbitration as the forum for the resolution of disputes between foreign investors and host States. However, national courts also have jurisdiction over certain matters involving cross-border investments. International investment tribunals and national courts thus interact in a number of ways, which range from harmonious co-existence to reinforcing complementation, reciprocal supervision and, occasionally, competition and discord. The book maps this complex relationship between dispute settlement bodies in the current investment treaty context and assesses the potential role of domestic courts in future treaty frameworks that could emerge from the States’ current efforts to reform the system. The book concludes that, in certain areas of interaction between domestic courts and international investment tribunals, the “division of labor” between the two bodies is not always optimal, producing inefficiencies that burden the system as a whole. In these areas, there is a need for improvement by introducing a more fruitful allocation of tasks between domestic and international courts and tribunals – whatever form(s) the international mechanism for the settlement of investment disputes may take. Given its scope, the book contributes not only to legal analysis, but also to the policy reflections that are needed for ongoing efforts to reform investor-State dispute settlement.
    Keywords: Dispute Resolution, Mediation, Arbitration ; International Economic Law, Trade Law ; International Economics ; ISDS ; Investment arbitration ; National courts ; Domestic courts ; Multilateral investment court ; Reform of ISDS ; Appeal mechanism ; Bilateral investment treaties ; ICSID Convention ; Exhaustion of local remedies ; Open access ; Arbitration, mediation & alternative dispute resolution ; Public international law: economic & trade ; International economics ; bic Book Industry Communication::L Law::LN Laws of Specific jurisdictions::LNA Legal system: general::LNAC Civil procedure, litigation & dispute resolution::LNAC5 Arbitration, mediation & alternative dispute resolution ; bic Book Industry Communication::L Law::LB International law::LBB Public international law::LBBM International economic & trade law ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCL International economics
    Language: English
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  • 92
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    Springer Nature | Apress
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 93
    Publication Date: 2021-02-10
    Description: This open access book discusses financial crisis management and policy in Europe and Latin America, with a special focus on equity and democracy. Based on a three-year research project by the Jean Monnet Network, this volume takes an interdisciplinary, comparative approach, analyzing both the role and impact of the EU and regional organizations in Latin America on crisis management as well as the consequences of crisis on the process of European integration and on Latin America’s regionalism. The book begins with a theoretical introduction, exploring the effects of the paradigm change on economic policies in Europe and in Latin America and analyzing key systemic aspects of the unsustainability of the present economic system explaining the global crises and their interconnections. The following chapters are divided into sections. The second section explores aspects of regional governance and how the economic and financial crises were managed on a macro level in Europe and Latin America. The third and fourth sections use case studies to drill down to the impact of the crises at the national and regional levels, including the emergence of political polarization and rise in populism in both areas. The last section presents proposals for reform, including the transition from finance capitalism to a sustainable real capitalism in both regions and at the inter-regional level of EU-LAC relations. Written by an international network of academics, practitioners and policy advisors, this volume will be of interest to researchers and students interested in macroeconomics, comparative regionalism, democracy, and financial crisis management as well as politicians, policy advisors, and members of national and regional organizations in the EU and Latin America.
    Keywords: Macroeconomics/Monetary Economics//Financial Economics ; Financial Crises ; Democracy ; Macroeconomics and Monetary Economics ; Financial History ; Political Science ; Open access ; Populism ; Latin America ; EU governance ; Crisis management ; Systemic aspects of unsustainability of the global economy ; Social and democratic impact ; Bi-regional macroeconomic dialogue ; Comparative regionalism ; European Union ; Macroeconomics ; Monetary economics ; Economic & financial crises & disasters ; History: specific events & topics ; Political structures: democracy ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCB Macroeconomics ; bic Book Industry Communication::K Economics, finance, business & management::KC Economics::KCX Economic & financial crises & disasters ; bic Book Industry Communication::J Society & social sciences::JP Politics & government::JPH Political structure & processes::JPHV Political structures: democracy
    Language: English
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  • 94
    Publication Date: 2024-03-23
    Description: user interfaces; human computer interaction; computers and society
    Keywords: user interfaces ; human computer interaction ; computers and society ; thema EDItEUR::A The Arts ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 95
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    Springer Nature | Springer
    Publication Date: 2024-03-29
    Description: Drawing on interdisciplinary, cross-national perspectives, this open access book contributes to the development of a coherent scientific discourse on social exclusion of older people. The book considers five domains of exclusion (services; economic; social relations; civic and socio-cultural; and community and spatial domains), with three chapters dedicated to analysing different dimensions of each exclusion domain. The book also examines the interrelationships between different forms of exclusion, and how outcomes and processes of different kinds of exclusion can be related to one another. In doing so, major cross-cutting themes, such as rights and identity, inclusive service infrastructures, and displacement of marginalised older adult groups, are considered. Finally, in a series of chapters written by international policy stakeholders and policy researchers, the book analyses key policies relevant to social exclusion and older people, including debates linked to sustainable development, EU policy and social rights, welfare and pensions systems, and planning and development. The book’s approach helps to illuminate the comprehensive multidimensionality of social exclusion, and provides insight into the relative nature of disadvantage in later life. With 77 contributors working across 28 nations, the book presents a forward-looking research agenda for social exclusion amongst older people, and will be an important resource for students, researchers and policy stakeholders working on ageing.
    Keywords: Demography ; Internal Medicine ; Health Psychology ; Quality of Life Research ; Aging Population ; Ageing ; Social exclusion ; Social and public policy ; Life course ; Older people ; Social relations ; Loneliness ; Rights and identity ; Service infastructure ; Sustainable development ; EU policy and social rights ; Welfare and pensions systems ; Unemployment at 50 + ; Older age divorced and widowed women ; Abuse and discrimination in older adults ; Ageing and caring in rural environments ; Long-term care institutions ; Pensions policies ; Nursing home residents ; Open access ; Population & demography ; Clinical & internal medicine ; Social & ethical issues ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBD Population and demography ; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNH Personal and public health / health education::MBNH4 Birth control, contraception, family planning ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBF Social and ethical issues
    Language: English
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  • 96
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The total of 60 regular papers presented in these volumes was carefully reviewed and selected from 155 submissions. The papers are organized in topical sections as follows: Part I: Program verification; SAT and SMT; Timed and Dynamical Systems; Verifying Concurrent Systems; Probabilistic Systems; Model Checking and Reachability; and Timed and Probabilistic Systems. Part II: Bisimulation; Verification and Efficiency; Logic and Proof; Tools and Case Studies; Games and Automata; and SV-COMP 2020.
    Keywords: Theory of Computation ; Special Purpose and Application-Based Systems ; Computer System Implementation ; Control Structures and Microprogramming ; Mathematics of Computing ; open access ; specification and verification techniques ; software and hardware verification ; SAT and SMT solving ; theorem proving ; model checking ; static and dynamic program analysis ; testing ; system construction and transformation techniques ; tool environments and tool architectures ; abstraction techniques for modeling and verification ; compositional and refinement-based methodologies ; mathematics ; software engineering ; software design ; architecting ; software architecture ; embedded systems ; automata theory ; linguistics ; Computer science ; Mathematical theory of computation ; Expert systems / knowledge-based systems ; Systems analysis & design ; Algorithms & data structures ; Maths for computer scientists ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
    Language: English
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  • 97
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
    Keywords: Theory of Computation ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Logic in AI ; Information Systems and Communication Service ; Computer Engineering and Networks ; architecture verification and validation ; artificial intelligence ; automata theory ; computer networks ; embedded systems ; formal languages ; formal logic ; linguistics ; mathematics ; model checking ; model-checking ; SAT and SMT solving ; signal processing ; software and hardware verification ; software architecture ; software engineering ; specification and verification techniques ; static and dynamic program analysis ; system construction and transforamtion techniques ; theorem-proving ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Algorithms & data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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  • 98
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    Springer Nature | Springer International Publishing
    Publication Date: 2024-04-11
    Description: This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems.
    Keywords: Circuits and Systems ; Cyber-physical systems, IoT ; Processor Architectures ; Electronic Circuits and Systems ; Cyber-Physical Systems ; Fault-Tolerant Computing ; Reliability Enhancers in Embedded Systems ; SoCs based on cross-layer-reliability ; System-Level Reliability Analysis ; Dependable Software Execution ; Open access ; Electronics: circuits & components ; Electrical engineering ; Cybernetics & systems theory ; Computer architecture & logic design ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFC Electronics: circuits and components ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design
    Language: English
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  • 99
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    Springer Nature | Apress
    Publication Date: 2024-04-14
    Description: Computer science
    Keywords: Computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 100
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    Springer Nature | Springer
    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
    Keywords: Theory of Computation ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Software Engineering ; Computer Engineering and Networks ; architecture verification and validation ; automata theory ; computer systems ; distributed computer systems ; embedded systems ; formal logic ; mathematics ; model checking ; model-checking ; parallel processing systems ; SAT and SMT solving ; software architecture ; static and dynamic program analysis ; theorem-proving ; verification and validation ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Algorithms & data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
    Language: English
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