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  • machine learning  (587)
  • Q1-390  (396)
  • Sustainability.
  • thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
  • thema EDItEUR::N History and Archaeology
  • thema EDItEUR::N History and Archaeology::NH History::NHD European history
  • MDPI - Multidisciplinary Digital Publishing Institute  (971)
  • Cornell University Press  (87)
  • Amsterdam University Press  (63)
  • Manchester University Press  (50)
  • English  (1,171)
  • 2020-2024  (1,171)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
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    Rethinking Authority in the Carolingian Empire (2021)
    Amsterdam University Press | Pallas Publications
    Details
    Publication Date: 2024-05-13
    Description: By the early ninth century, the responsibility for a series of social, religious and political transformations had become an integral part of running the Carolingian empire. This became especially clear when, in 813/4, Louis the Pious and his court seized the momentum generated by their predecessors and broadened the scope of these reforms ever further. These reformers knew they represented a movement greater than the sum of its parts; the interdependence between those wielding imperial authority and those bearing responsibility for ecclesiastical reforms was driven by comprehensive, yet still surprisingly diverse expectations.Taking this diversity as a starting point, this book takes a fresh look at the optimistic first decades of the ninth century. Extrapolating from a series of detailed case studies rather than presenting a new grand narrative, it offers new interpretations of contemporary theories of personal improvement and institutional correctio, and shows the self-awareness of its main instigators as they pondered what it meant to be a good Christian in a good Christian empire.
    Keywords: Politics ; government ; history ; Medieval History ; Carolingians ; Monasticism ; Church ; Empire ; Mittelalter ; Karalingen ; Mönchswesen ; Kirche ; Imperium ; thema EDItEUR::N History and Archaeology ; thema EDItEUR::3 Time period qualifiers::3K CE period up to c 1500 ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
    Language: English
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  • 2
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    Mediterranean quarantines, 1750–1914: Space, identity and power (2021)
    Manchester University Press
    Details
    Publication Date: 2024-05-11
    Description: Mediterranean quarantines investigates how quarantine, the centuries-old practice of collective defence against epidemics, experienced significant transformations from the eighteenth century in the Mediterranean Sea, its original birthplace. The new epidemics of cholera and the development of bacteriology and hygiene, European colonial expansion, the intensification of commercial interchanges, the technological revolution in maritime and land transportation and the modernisation policies in Islamic countries were among the main factors behind such transformations. The book focuses on case studies on the European and Islamic shores of the Mediterranean showing the multidimensional nature of quarantine, the intimate links that sanitary administrations and institutions had with the territorial organisation of states, international trade, the construction of national, colonial, religious and professional identities of political regimes.
    Keywords: long 19th century ; power ; quarantine ; mediterranean ; space ; identity ; thema EDItEUR::N History and Archaeology::NH History::NHD European history ; thema EDItEUR::N History and Archaeology ; thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day ; thema EDItEUR::N History and Archaeology::NH History::NHT History: specific events and topics::NHTB Social and cultural history ; thema EDItEUR::J Society and Social Sciences ; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBX History of medicine
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  • 3
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    Stereotypes and stereotyping in early modern England (2023)
    Manchester University Press
    Details
    Publication Date: 2024-05-09
    Description: Early modern stereotypes are often studied as evidence of popular belief, something mired with prejudices and commonly held assumptions. This volume of essays goes beyond this approach, and explores practices of stereotyping as contested processes. To do so the volume draws on recent works on social psychology and sociology. The volume thereby brings together early modern case studies, and explores how stereotypes and their mobilisation shaped various negotiations of power, in spheres of life such as politics, religion, everyday life and knowledge production. The volume highlights early modern men’s and women’s remarkable creativity and agency: godly reformers used the ‘puritan’ stereotype to understand popular aversion to religious discipline; Ben Jonson developed the characters of the puritan and the projector in ways that helped diffuse anxieties about fundamental problems in early modern church and state; playful allusions to London’s ‘sin and sea coal’ permitted a knowing acceptance of urban growth and its moral and environmental costs; Tory polemics accused of ‘popery’ returned the same accusations to Whig Protestants; humanists projected related Christian stereotypes outwards to make sense of Islam and Hinduism in the age of Enlightenment. Case studies collectively point to a paradox: stereotyping was so pervasive and foundational to social life and yet so liable to escalation that collective engagements with it often ended up perpetuating the very processes of stereotyping. By highlighting these dialectics of stereotyping, the volume invites readers to make fresh connections between the early modern past and the present without being anachronistic.
    Keywords: stereotypes ; early modern ; reformation ; popery and anti-popery ; puritanism ; projects and projectors ; plays and theatre ; social psychology ; sociology ; stigma ; thema EDItEUR::N History and Archaeology ; thema EDItEUR::3 Time period qualifiers::3M c 1500 onwards to present day ; thema EDItEUR::N History and Archaeology::NH History::NHT History: specific events and topics::NHTB Social and cultural history ; thema EDItEUR::J Society and Social Sciences::JM Psychology::JMH Social, group or collective psychology
    Language: English
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  • 4
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    Mathematical Finance with Applications (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the analysis of empirical, real-world data. For example, mathematics, probability, and statistics could help to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
    Keywords: cluster analysis ; equity index networks ; machine learning ; copulas ; dependence structures ; quotient of random variables ; density functions ; distribution functions ; multi-factor model ; risk factors ; OLS and ridge regression model ; python ; chi-square test ; quantile ; VaR ; quadrangle ; CVaR ; conditional value-at-risk ; expected shortfall ; ES ; superquantile ; deviation ; risk ; error ; regret ; minimization ; CVaR estimation ; regression ; linear regression ; linear programming ; portfolio safeguard ; PSG ; equity option pricing ; factor models ; stochastic volatility ; jumps ; mathematics ; probability ; statistics ; finance ; applications ; investment home bias (IHB) ; bivariate first-degree stochastic dominance (BFSD) ; keeping up with the Joneses (KUJ) ; correlation loving (CL) ; return spillover ; volatility spillover ; optimal weights ; hedge ratios ; US financial crisis ; Chinese stock market crash ; stock price prediction ; auto-regressive integrated moving average ; artificial neural network ; stochastic process-geometric Brownian motion ; financial models ; firm performance ; causality tests ; leverage ; long-term debt ; capital structure ; shock spillover ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
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  • 5
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    Commodity Market Finance (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Commodity markets have evolved substantially since the early 2000s and have become more financialized. The recent cold war between the U.S.A. and China, the outbreak of COVID-19, and Russia's invasion of Ukraine have caused resource prices to soar, leading to greater volatility in the commodity markets. The volatility of the commodity markets has increased, and at the same time, financial markets such as the stock market, bond market, and foreign exchange market have become unstable. This has increased the linkage between the commodity and financial markets and has led to a great deal of attention being paid to the commodity markets by governments, companies, and investors.This reprint delves into recent developments in the commodity markets and elucidates the multifaceted factors that have shaped their trajectory. It examines how the interwoven dynamics of supply and demand, geopolitics, technology, and financialization have brought about a new era in commodity trading. By providing a comprehensive survey of these developments, we aim to provide insights that will help stakeholders successfully navigate the challenges and opportunities presented by this evolving landscape.
    Keywords: Russia and Ukraine conflict ; commodities ; G7 and BRIC markets ; TVP-VAR ; connectedness ; oil price uncertainty shocks ; international equity markets ; global vector autoregressive model ; arbitrage ; efficiency ; futures ; liquidity ; market integration ; platinum ; COVID-19 ; pandemic ; agriculture ; commodity ; MF-DFA ; high frequency ; asymmetric volatility spillover ; bitcoin ; altcoin ; cryptocurrency ; frequency connectedness ; Bitcoin ; machine learning ; random forest regression ; LSTM ; energy market volatility ; oil price dynamics ; fear index ; Markov-regime switching models ; volatility risk premium (VRP) ; implied and realized volatility ; oil and stock returns ; financialization ; Bermudan commodity options ; multi-layer perceptron ; multi-asset stochastic volatility model ; hybrid forecasting approaches ; two-step forecasting approaches ; gold ; euro ; sentiment analysis ; ARIMA ; wavelet transformation ; seasonal decomposition ; long short-term memory ; random forest ; eXtreme gradient boosting ; stock ; markets ; cycles ; investing ; risk ; returns ; thema EDItEUR::W Lifestyle, Hobbies and Leisure::WC Antiques, vintage and collectables::WCF Collecting coins, banknotes, medals and other related items
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  • 6
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    Computational Methods for Medical and Cyber Security (2023)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Over the past decade, computational methods, including machine learning (ML) and deep learning (DL), have been exponentially growing in their development of solutions in various domains, especially medicine, cybersecurity, finance, and education. While these applications of machine learning algorithms have been proven beneficial in various fields, many shortcomings have also been highlighted, such as the lack of benchmark datasets, the inability to learn from small datasets, the cost of architecture, adversarial attacks, and imbalanced datasets. On the other hand, new and emerging algorithms, such as deep learning, one-shot learning, continuous learning, and generative adversarial networks, have successfully solved various tasks in these fields. Therefore, applying these new methods to life-critical missions is crucial, as is measuring these less-traditional algorithms' success when used in these fields.
    Keywords: fintech ; financial technology ; blockchain ; deep learning ; regtech ; environment ; social sciences ; machine learning ; learning analytics ; student field forecasting ; imbalanced datasets ; explainable machine learning ; intelligent tutoring system ; adversarial machine learning ; transfer learning ; cognitive bias ; stock market ; behavioural finance ; investor’s profile ; Teheran Stock Exchange ; unsupervised learning ; clustering ; big data frameworks ; fault tolerance ; stream processing systems ; distributed frameworks ; Spark ; Hadoop ; Storm ; Samza ; Flink ; comparative analysis ; a survey ; data science ; educational data mining ; supervised learning ; secondary education ; academic performance ; text-to-SQL ; natural language processing ; database ; machine translation ; medical image segmentation ; convolutional neural networks ; SE block ; U-net ; DeepLabV3plus ; cyber-security ; medical services ; cyber-attacks ; data communication ; distributed ledger ; identity management ; RAFT ; HL7 ; electronic health record ; Hyperledger Composer ; cybersecurity ; password security ; browser security ; social media ; ANOVA ; SPSS ; internet of things ; cloud computing ; computational models ; metaheuristics ; phishing detection ; website phishing ; thema EDItEUR::U Computing and Information Technology
    Language: English
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  • 7
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    Sports Medicine and Physical Fitness (2022)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Sports Medicine and Physical Fitness has been a successful Special Issue, which addressed novel topics in any subject related to sports medicine, physical fitness, and human movement. The article collection was able to positively evaluate three systematic reviews, nineteen original articles, and one brief report. These encompassed a broad range of topics ranging from accident kinematics, soccer monitoring, children’s physical evaluation, adapted physical activity, physical evaluation for people with intellectual disabilities, performance analysis in rowers, ultramarathon racers, karateka’s, rugby players, volleyball and basketball players, and cross-fit athletes, and also aspects related to biomechanics, fatigue and injury prevention in racing motorcycle riders, gymnasts, and cyclists.These scientific contributions within the field of Sports Medicine and Physical Fitness broaden the understanding of specific aspects of each analyzed discipline.It has been a pleasure for the Editorial Team to have served the International Journal Of Environmental Research and Public Health.
    Keywords: MotoGP ; video analysis ; collision ; accident ; safety ; disability ; tool ; health ; life span ; physical fitness ; reference values ; muscular strength profile ; quadriceps ; hamstring ; H/Q ratio ; total work ; sprint ; postactivation potentiation ; fixed seat rowing ; performance ; psychology ; odontology ; nutrition ; training ; stress ; running ; type 1 diabetes ; high-intensity interval training ; exercise ; VO2max ; anti-inflammatory ; machine learning ; PCA ; intensive training ; proprioception ; postural sway ; testing ; pacing ; cycling ; time trial ; RPE ; cognitive functions ; aging ; partnered dances ; fall prevention ; physical activity ; water polo ; biomechanics ; force-velocity relationship ; power-velocity relationship ; soccer ; match ; internal load ; external load ; fatigue ; young athletes ; cycling performance ; sport nutrition ; hydration ; PA ; MVPA ; accelerometer ; questionnaire ; children ; athlete ; high-intensity functional training ; cross-training ; functional fitness ; vitamin D ; explosive strength ; overload training ; wrist pain ; injury prevention ; overuse ; sitting position ; modified 505 test ; kinetic variables ; completion time ; foot contact ; predictors ; squat ; bench press ; strength ; speed ; interval training ; continuous training ; heart failure ; meta-analysis ; handgrip ; carpi radialis ; flexor digitorum superficialis ; neuromuscular fatigue ; motorcycle ; recovery ; spike jump ; block jump ; critical threshold ; specialization ; anaerobic power ; peak power ; HIFT, high-intensity functional training ; crossfit ; athletes ; field test ; hypertrophy ; katsu ; low-intensity training ; occlusive exercise ; sarcopenia ; diabetes type 1 ; HIIT ; sleep quality ; exercise motivation ; quality of life ; hypoxia ; hyperoxia ; hyperbaric breathing ; nitric oxide ; vascular reactions ; breathing ; extreme environments ; thema EDItEUR::W Lifestyle, Hobbies and Leisure
    Language: English
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  • 8
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    Learning to Understand Remote Sensing Images (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: With the recent advances in remote sensing technologies for Earth observation, many different remote sensors are collecting data with distinctive properties. The obtained data are so large and complex that analyzing them manually becomes impractical or even impossible. Therefore, understanding remote sensing images effectively, in connection with physics, has been the primary concern of the remote sensing research community in recent years. For this purpose, machine learning is thought to be a promising technique because it can make the system learn to improve itself. With this distinctive characteristic, the algorithms will be more adaptive, automatic, and intelligent. This book introduces some of the most challenging issues of machine learning in the field of remote sensing, and the latest advanced technologies developed for different applications. It integrates with multi-source/multi-temporal/multi-scale data, and mainly focuses on learning to understand remote sensing images. Particularly, it presents many more effective techniques based on the popular concepts of deep learning and big data to reach new heights of data understanding. Through reporting recent advances in the machine learning approaches towards analyzing and understanding remote sensing images, this book can help readers become more familiar with knowledge frontier and foster an increased interest in this field.
    Keywords: QA75.5-76.95 ; T58.5-58.64 ; metadata ; image classification ; sensitivity analysis ; ROI detection ; residual learning ; image alignment ; adaptive convolutional kernels ; Hough transform ; class imbalance ; land surface temperature ; inundation mapping ; multiscale representation ; object-based ; convolutional neural networks ; scene classification ; morphological profiles ; hyperedge weight estimation ; hyperparameter sparse representation ; semantic segmentation ; vehicle classification ; flood ; Landsat imagery ; target detection ; multi-sensor ; building damage detection ; optimized kernel minimum noise fraction (OKMNF) ; sea-land segmentation ; nonlinear classification ; land use ; SAR imagery ; anti-noise transfer network ; sub-pixel change detection ; Radon transform ; segmentation ; remote sensing image retrieval ; TensorFlow ; convolutional neural network ; particle swarm optimization ; optical sensors ; machine learning ; mixed pixel ; optical remotely sensed images ; object-based image analysis ; very high resolution images ; single stream optimization ; ship detection ; ice concentration ; online learning ; manifold ranking ; dictionary learning ; urban surface water extraction ; saliency detection ; spatial attraction model (SAM) ; quality assessment ; Fuzzy-GA decision making system ; land cover change ; multi-view canonical correlation analysis ensemble ; land cover ; semantic labeling ; sparse representation ; dimensionality expansion ; speckle filters ; hyperspectral imagery ; fully convolutional network ; infrared image ; Siamese neural network ; Random Forests (RF) ; feature matching ; color matching ; geostationary satellite remote sensing image ; change feature analysis ; road detection ; deep learning ; aerial images ; image segmentation ; aerial image ; multi-sensor image matching ; HJ-1A/B CCD ; endmember extraction ; high resolution ; multi-scale clustering ; heterogeneous domain adaptation ; hard classification ; regional land cover ; hypergraph learning ; automatic cluster number determination ; dilated convolution ; MSER ; semi-supervised learning ; gate ; Synthetic Aperture Radar (SAR) ; downscaling ; conditional random fields ; urban heat island ; hyperspectral image ; remote sensing image correction ; skip connection ; ISPRS ; spatial distribution ; geo-referencing ; Support Vector Machine (SVM) ; very high resolution (VHR) satellite image ; classification ; ensemble learning ; synthetic aperture radar ; conservation ; convolutional neural network (CNN) ; THEOS ; visible light and infrared integrated camera ; vehicle localization ; structured sparsity ; texture analysis ; DSFATN ; CNN ; image registration ; UAV ; unsupervised classification ; SVMs ; SAR image ; fuzzy neural network ; dimensionality reduction ; GeoEye-1 ; feature extraction ; sub-pixel ; energy distribution optimizing ; saliency analysis ; deep convolutional neural networks ; sparse and low-rank graph ; hyperspectral remote sensing ; tensor low-rank approximation ; optimal transport ; SELF ; spatiotemporal context learning ; Modest AdaBoost ; topic modelling ; multi-seasonal ; Segment-Tree Filtering ; locality information ; GF-4 PMS ; image fusion ; wavelet transform ; hashing ; machine learning techniques ; satellite images ; climate change ; road segmentation ; remote sensing ; tensor sparse decomposition ; Convolutional Neural Network (CNN) ; multi-task learning ; deep salient feature ; speckle ; canonical correlation weighted voting ; fully convolutional network (FCN) ; despeckling ; multispectral imagery ; ratio images ; linear spectral unmixing ; hyperspectral image classification ; multispectral images ; high resolution image ; multi-objective ; convolution neural network ; transfer learning ; 1-dimensional (1-D) ; threshold stability ; Landsat ; kernel method ; phase congruency ; subpixel mapping (SPM) ; tensor ; MODIS ; GSHHG database ; compressive sensing ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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  • 9
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    Improving Practice and Performance in Basketball (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: Despite being one of the most popular sports worldwide, basketball has received limited research attention compared to other team sports. Establishing a strong evidence base with high-quality and impactful research is essential in enhancing decision-making processes to optimize player performance for basketball professionals. Consequently, the book entitled Improving Performance and Practice in Basketball provides a collection of novel research studies to increase the available evidence on various topics with strong translation to practice in basketball. The book includes work by 40 researchers from 16 institutions or professional organizations from 9 countries. In keeping with notable topics in basketball research, the book contains 2 reviews focused on monitoring strategies to detect player fatigue and considerations for travel in National Basketball Association players. In addition, 8 applied studies are also included in the book, focused on workload monitoring, game-related statistics, and the measurement of physical and skill attributes in basketball players. This book also has a strong focus on increasing the evidence available for female basketball players, who have traditionally been under-represented in the literature. The outcomes generated from this book should provide new insights to inform practice in many areas for professionals working in various roles with basketball teams.
    Keywords: GV557-1198.995 ; n/a ; talent selection ; classification tree ; Movement Assessment Battery for Children-2 ; NBA ; basketball ; maturation ; body composition ; fatigue ; countermovement jump ; athletic performance ; circadian rhythm ; injury ; basketball tactics ; female ; athlete ; non-linear analysis ; monitoring ; basketball performance ; performance analysis ; training load ; variability ; game-related statistics ; sleep ; youth athletes ; accelerometer ; women athletes ; fat free mass ; collegiate athletes ; workloads ; team sports ; machine learning ; microtechnology ; motor manual sequences ; elite sport ; attention ; visuo-spatial working memory ; playing position ; smallest worthwhile change ; body fat ; thema EDItEUR::V Health, Relationships and Personal development::VX Mind, body, spirit::VXH Complementary therapies, healing and health::VXHT Traditional medicine and herbal remedies
    Language: English
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  • 10
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    Imaging Sensors and Technologies (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-14
    Description: This book provides different technologies and procedures related to imaging sensors. Active or passive imaging sensors capture electromagnetic radiation across the whole spectra or acoustic echoes, which, conveniently arranged in images, allow the extraction of useful information. Researchers, engineers and industry professionals can find the most advanced imaging technologies and developments, together with dedicated image processing and computer vision-based approaches. This book provides insights into and solutions for different problems, covering a broad spectrum of possibilities, thanks to a set of applications and solutions, including 3D data recovery; multispectral analysis; biometrics applications; computed tomography; surface defects; indoor/outdoor systems; surveillance. Advanced imaging technologies and specific sensors are also described on the electromagnetic spectrum (ultraviolet, visible, infrared), including airborne calibration systems; selective change driven, multi-spectral systems; specific electronic devices (CMOS, CCDs, CZT, X-Ray, and fluorescence); multi-camera systems; line sensors arrays; video systems. Some technologies based on acoustic imaging are also provided: acoustic planar arrays of MEMS or linear arrays.
    Keywords: QA75.5-76.95 ; TK1-9971 ; Q1-390 ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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