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  • Books  (48)
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence  (46)
  • formal logic
  • Springer  (37)
  • Springer Nature Singapore  (11)
  • American Chemical Society (ACS)
  • American Institute of Physics (AIP)
  • 2020-2024  (48)
  • 2015-2019
  • 1950-1954
Collection
  • Books  (48)
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Language
Years
  • 2020-2024  (48)
  • 2015-2019
  • 1950-1954
Year
  • 1
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    Phygital Intelligence (2024)
    Springer Nature | Springer Nature Singapore
    Details
    Publication Date: 2024-04-11
    Description: This open access book is a compilation of selected papers from 2023 DigitalFUTURES — The 5nd International Conference on Computational Design and Robotic Fabrication (CDRF 2023). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers will encounter new ideas about understanding intelligence in architecture.
    Keywords: Phygital Intelligence ; Computational Design ; Robotic Fabrication ; Human-Machine Collaboration ; AI in Architecture ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGC Computer-aided design (CAD)
    Language: English
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  • 2
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    Photonic Neural Networks with Spatiotemporal Dynamics (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.
    Keywords: photonic neural network ; spatiotemporal dynamics ; optical computing ; nonlinear dynamics ; fluorescence energy transfer ; Ising machine ; reservoir computing ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWH Mathematical modelling ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics::PBWR Nonlinear science
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  • 3
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    Hypergraph Computation (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book discusses the theory and methods of hypergraph computation. Many underlying relationships among data can be represented using graphs, for example in the areas including computer vision, molecular chemistry, molecular biology, etc. In the last decade, methods like graph-based learning and neural network methods have been developed to process such data, they are particularly suitable for handling relational learning tasks. In many real-world problems, however, relationships among the objects of our interest are more complex than pair-wise. Naively squeezing the complex relationships into pairwise ones will inevitably lead to loss of information which can be expected valuable for learning tasks. Hypergraph, as a generation of graph, has shown superior performance on modelling complex correlations compared with graph. Recent years have witnessed a great popularity of researches on hypergraph-related AI methods, which have been used in computer vision, social media analysis, etc. We summarize these attempts as a new computing paradigm, called hypergraph computation, which is to formulate the high-order correlations underneath the data using hypergraph, and then conduct semantic computing on the hypergraph for different applications. The content of this book consists of hypergraph computation paradigms, hypergraph modelling, hypergraph structure evolution, hypergraph neural networks, and applications of hypergraph computation in different fields. We further summarize recent achievements and future directions on hypergraph computation in this book.
    Keywords: Hypergraph ; Hypergraph Computation ; Hypergraph Learning ; Hypergraph Modelling ; Hypergraph Neural Network ; Complex Correlation Modelling ; High-Order Correlation Modelling ; 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::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
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  • 4
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    Nanotechnology in Construction for Circular Economy (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-11
    Description: This open access book covers emerging opportunities and future use of nanotechnology in construction, including deep advances in cement chemistry, nanotechnology, artificial intelligence, robotics, concrete technology, and extreme engineering (blast, impact and fire). The proceedings also presents sectorial interactions within the traditional construction industry supply chain, enabled by the dynamic partnership between international industry, government agencies, and universities. Nanotechnology has transformed the construction materials industry into an advanced manufacturing sector to address climate change and carbon neutrality challenges by delivering sustainable and resilient infrastructure assets. Hence, this book reports specific advances in nanoscience and nano-engineering, and their impacts on numerous novel construction materials including binders, additives, high-performance concrete materials, concrete structural systems, polymer composites, and pavement materials.
    Keywords: Cement chemistry ; Concrete technology ; Polymer composites ; Pavement materials ; Construction material ; Nanocomposites ; Structural health monitoring ; Polymer paints ; Cement additives ; Clinker and Binder ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBN Nanotechnology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TN Civil engineering, surveying and building::TNK Building construction and materials ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGM Materials science
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  • 5
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    Hybrid Intelligence (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-11
    Description: This open access book is a compilation of selected papers from DigitalFUTURES 2022—The 4th International Conference on Computational Design and Robotic Fabrication (CDRF 2022). The work focuses on novel techniques for computational design and robotic fabrication. The contents make valuable contributions to academic researchers, designers, and engineers in the industry. As well, readers encounter new ideas about intelligence in architecture.
    Keywords: History, Theory and Critics of Building Technology ; Performance-based Design ; Fabrication and Construction ; Data Mining and Visualizing ; Post-humanist Intelligence ; AI in Architecture ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering ; thema EDItEUR::U Computing and Information Technology::UG Graphical and digital media applications::UGC Computer-aided design (CAD) ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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  • 6
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    Hyperparameter Tuning for Machine and Deep Learning with R (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike.
    Keywords: Hyperparameter Tuning ; Hyperparameters ; Tuning ; Deep Neural Networks ; Reinforcement Learning ; Machine Learning ; 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::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software ; thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics ; 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::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software ; thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
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  • 7
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    Objective Information Theory (2023)
    Springer Nature | Springer Nature Singapore
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    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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  • 8
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    Entity Alignment (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowledge graphs, and hence is of significance to downstream applications, e.g., question answering and recommender systems. Recent years have witnessed a rapid increase in the number of entity alignment frameworks, while the relationships among them remain unclear. This book aims to fill that gap by elaborating the concept and categorization of entity alignment, reviewing recent advances in entity alignment approaches, and introducing novel scenarios and corresponding solutions. Specifically, the book includes comprehensive evaluations and detailed analyses of state-of-the-art entity alignment approaches and strives to provide a clear picture of the strengths and weaknesses of the currently available solutions, so as to inspire follow-up research. In addition, it identifies novel entity alignment scenarios and explores the issues of large-scale data, long-tail knowledge, scarce supervision signals, lack of labelled data, and multimodal knowledge, offering potential directions for future research. The book offers a valuable reference guide for junior researchers, covering the latest advances in entity alignment, and a valuable asset for senior researchers, sharing novel entity alignment scenarios and their solutions. Accordingly, it will appeal to a broad audience in the fields of knowledge bases, database management, artificial intelligence and big data.
    Keywords: Knowledge Graph ; Entity Alignment ; Knowledge Graph Alignment ; Knowledge Graph Matching ; Entity Matching ; Knowledge Fusion ; Data Integration ; Knowledge Graph Representation Learning ; Multi-Modal Knowledge Graph ; 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::UN Databases::UNF Data mining ; 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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  • 9
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    Representation Learning for Natural Language Processing (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including graphs, cross-modal entries, and robustness. Part III then introduces the representation techniques for the knowledge that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, legal domain knowledge and biomedical domain knowledge. Lastly, Part IV discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing. As compared to the first edition, the second edition (1) provides a more detailed introduction to representation learning in Chapter 1; (2) adds four new chapters to introduce pre-trained language models, robust representation learning, legal knowledge representation learning and biomedical knowledge representation learning; (3) updates recent advances in representation learning in all chapters; and (4) corrects some errors in the first edition. The new contents will be approximately 50%+ compared to the first edition. This is an open access book.
    Keywords: Deep Learning ; Representation Learning ; Knowledge Representation ; Word Representation ; Document Representation ; Big Data ; Machine Learning ; Natural Language Processing ; Artificial Intelligence ; 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::UN Databases::UNF Data mining
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  • 10
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    Sine Cosine Algorithm for Optimization (2023)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book serves as a compact source of information on sine cosine algorithm (SCA) and a foundation for developing and advancing SCA and its applications. SCA is an easy, user-friendly, and strong candidate in the field of metaheuristics algorithms. Despite being a relatively new metaheuristic algorithm, it has achieved widespread acceptance among researchers due to its easy implementation and robust optimization capabilities. Its effectiveness and advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various applications, and a working MATLAB code for the basic SCA.
    Keywords: Sine Cosine Algorithms ; Meta-heuristics ; Numerical Optimization ; Soft Computing ; Numerical Experiments ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
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  • 11
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    Metalearning (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
    Keywords: Metalearning ; Automating Machine Learning (AutoML) ; Machine Learning ; Artificial Intelligence ; algorithm selection ; algorithm recommendation ; algorithm configuration ; hyperparameter optimization ; automating the workflow/pipeline design ; metalearning in ensemble construction ; metalearning in deep neural networks ; transfer learning ; algorithm recommendation for data streams ; automating data science ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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  • 12
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    Artificial Intelligence Technology (2022)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform. As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cyber security, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.
    Keywords: Artificial Intelligence ; Cloud Computing ; Big Data ; Certification ; Huawei ; MindSpore ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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  • 13
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    Digital Interaction and Machine Intelligence (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This book is open access, which means that you have free and unlimited access. This book presents the Proceedings of the 9th Machine Intelligence and Digital Interaction Conference. Significant progress in the development of artificial intelligence (AI) and its wider use in many interactive products are quickly transforming further areas of our life, which results in the emergence of various new social phenomena. Many countries have been making efforts to understand these phenomena and find answers on how to put the development of artificial intelligence on the right track to support the common good of people and societies. These attempts require interdisciplinary actions, covering not only science disciplines involved in the development of artificial intelligence and human-computer interaction but also close cooperation between researchers and practitioners. For this reason, the main goal of the MIDI conference held on 9-10.12.2021 as a virtual event is to integrate two, until recently, independent fields of research in computer science: broadly understood artificial intelligence and human-technology interaction.
    Keywords: Computational Intelligence ; AI ; MIDI 2021 ; MIDI ; Machine Intelligence ; Digital Interaction ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
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  • 14
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    Cyber Security (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the refereed proceedings of the 18th China Annual Conference on Cyber Security, CNCERT 2022, held in Beijing, China, in August 2022. The 17 papers presented were carefully reviewed and selected from 64 submissions. The papers are organized according to the following topical sections: ​​data security; anomaly detection; cryptocurrency; information security; vulnerabilities; mobile internet; threat intelligence; text recognition.
    Keywords: application service layer ; artificial intelligence ; communication systems ; computer crime ; computer networks ; computer security ; computer systems ; cryptography ; cyber security ; data communication systems ; data security ; databases ; machine learning ; network protocols ; network security ; privacy ; signal processing ; telecommunication networks ; telecommunication systems ; thema EDItEUR::U Computing and Information Technology::UR Computer security ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTN Network security
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  • 15
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    Vector Semantics (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics. The computational linguists and deep learning researchers who developed word vectors have relied primarily on the ever-increasing availability of large corpora and of computers with highly parallel GPU and TPU compute engines, and their focus is with endowing computers with natural language capabilities for practical applications such as machine translation or question answering. Cognitive linguists investigate natural language from the perspective of human cognition, the relation between language and thought, and questions about conceptual universals, relying primarily on in-depth investigation of language in use. In spite of the fact that these two schools both have ‘linguistics’ in their name, so far there has been very limited communication between them, as their historical origins, data collection methods, and conceptual apparatuses are quite different. Vector semantics bridges the gap by presenting a formal theory, cast in terms of linear polytopes, that generalizes both word vectors and conceptual structures, by treating each dictionary definition as an equation, and the entire lexicon as a set of equations mutually constraining all meanings.
    Keywords: Semantics ; Natural Language Processing ; Computational Linguistics ; Artificial Intelligence ; explainable AI ; Artificial Neural Nets ; lexical semantics ; word vectors ; embeddings ; dynamic embeddings ; algebraic semantic ; knowledge bases ; machine learning ; 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::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
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  • 16
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    Statistical Foundations of Actuarial Learning and its Applications (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-04
    Description: This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
    Keywords: Deep Learning ; Actuarial Modeling ; Pricing and Claims Reserving ; Artificial Neural Networks ; Regression Modeling ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; 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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  • 17
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    Intelligent Systems for Sustainable Person-Centered Healthcare (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective healthcare. The Person-Centered Care (PCC) positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence, as it dissolves the limits of processing traditional medical data records, clinical tests and surveys. Enhanced knowledge for diagnosing, treatment and rehabilitation is captured and utilized by inclusion of data sources characterizing personal lifestyle, and health literacy, and it involves insights derived from smart ambience and wearables data, community networks, and the caregivers’ feedback. The book discusses intelligent systems and their applications for healthcare data analysis, decision making and process design tasks. The measurement systems and efficiency evaluation models analyze ability of intelligent healthcare system to monitor person health and improving quality of life.
    Keywords: Person-centered Healthcare Model ; Heterogeneous Healthcare Data ; Remote Care Feedback Mechanisms ; Monitoring Health Status ; Data-driven Decision Making for Person Health ; Efficiency of Healthcare ; Quality of Person-centered Care ; Big Data for Personal Self-sustainment ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQW Biomedical engineering
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  • 18
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    Haptics: Science, Technology, Applications (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 13th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2022, held in Hamburg, Germany, in May 2022. The 36 regular papers included in this book were carefully reviewed and selected from 129 submissions. They were organized in topical sections as follows: haptic science; haptic technology; and haptic applications.
    Keywords: communication systems ; computer networks ; data communication systems ; haptic interfaces ; human engineering ; Human-Computer Interaction (HCI) ; mobile computing ; mobile devices ; network protocols ; rehabilitation systems ; robotics ; signal processing ; telecommunication networks ; telecommunication systems ; user interfaces ; virtual reality ; wireless telecommunication systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Computer Aided Verification (2022)
    Springer Nature | Springer
    Details
    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 ; distributed computer systems ; distributed systems ; embedded systems ; formal logic ; mathematics ; model checking ; programming languages ; software architecture ; software design ; software engineering ; software quality ; theoretical computer science ; verification ; verification and validation ; 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::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
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    Automated Reasoning (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This volume, LNAI 13385, constitutes the refereed proceedings of the 11th International Joint Conference on Automated Reasoning, IJCAR 2022, held in Haifa, Israel, in August 2022. The 32 full research papers and 9 short papers presented together with two invited talks were carefully reviewed and selected from 85 submissions. The papers focus on the following topics: Satisfiability, SMT Solving,Arithmetic; Calculi and Orderings; Knowledge Representation and Jutsification; Choices, Invariance, Substitutions and Formalization; Modal Logics; Proofs System and Proofs Search; Evolution, Termination and Decision Prolems. This is an open access book.
    Keywords: artificial intelligence ; automata theory ; computer hardware ; computer networks ; computer programming ; computer systems ; embedded systems ; formal languages ; formal logic ; logic programming ; network protocols ; semantics ; software architecture ; software design ; software engineering ; theoretical computer science ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering
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    Multi-Winner Voting with Approval Preferences (2022)
    Springer Nature | Springer
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    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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    Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the challenge on Quantification of Uncertainties in Biomedical Image Quantification (QUBIQ). These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in September 2021. The 91 revised papers presented in these volumes were selected form 151 submissions. Due to COVID-19 pandemic the conference was held virtually. This is an open access book.
    Keywords: artificial intelligence ; bioinformatics ; computer science ; computer systems ; computer vision ; education ; image analysis ; image processing ; image segmentation ; learning ; machine learning ; medical images ; neural networks ; pattern recognition ; segmentation methods ; software design ; software engineering ; software quality ; validation ; verification and validation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing ; 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::UB Information technology: general topics
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    Computer Aided Verification (2022)
    Springer Nature | Springer
    Details
    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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    AI in Learning: Designing the Future (2022)
    Springer Nature | Springer
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    Publication Date: 2024-03-29
    Description: AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers.
    Keywords: artificial intelligence ; life-long learning ; tutoring ; virtual learning ; learning analytics ; well-being ; simulations ; games ; intelligent digital tools ; deep learning ; robotics ; human-machine interaction ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; bic Book Industry Communication::U Computing & information technology::UB Information technology: general issues ; bic Book Industry Communication::J Society & social sciences::JN Education ; bic Book Industry Communication::H Humanities::HP Philosophy::HPM Philosophy of mind ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::J Society and Social Sciences::JM Psychology ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::J Society and Social Sciences::JN Education ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of mind ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Artificial Intelligence for a Better Future (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
    Keywords: Artificial Intelligence ; Ethics ; Computers and Society ; Philosophy of Technology ; Business Ethics ; Applied Ethics ; Ethics of Technology ; Computer Ethics ; Information Ethics ; Responsible Research and Innovation ; Innovation Ecosystem ; Engineering Ethics ; Corporate Social Responsibility ; Open Access ; Ethics & moral philosophy ; Ethical & social aspects of IT ; Philosophy ; Business ethics & social responsibility ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJG Business ethics and social responsibility
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    Programming Languages and Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 30th European Symposium on Programming, ESOP 2021, which was held during March 27 until 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 24 papers included in this volume were carefully reviewed and selected from 79 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
    Keywords: Programming Languages, Compilers, Interpreters ; Natural Language Processing (NLP) ; Software Engineering ; Logics and Meanings of Programs ; Computer Systems Organization and Communication Networks ; Compilers and Interpreters ; Computer Science Logic and Foundations of Programming ; Computer Engineering and Networks ; computer programming ; concurrency theory ; distributed computer systems ; formal logic ; lamdba calculi ; linguistics ; logic ; object-oriented programming ; parallel processing systems ; probabilistic programming ; process calculi ; program compilers ; semantics ; software design ; software quality ; theory ; types ; verification and validation ; Programming & scripting languages: general ; Compilers & interpreters ; Natural language & machine translation ; Computer programming / software engineering ; Computer architecture & logic design ; Computer networking & communications ; 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::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
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    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
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
    Details
    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
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    Graph Structures for Knowledge Representation and Reasoning (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.
    Keywords: Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Computer Communication Networks ; Mathematical Logic and Formal Languages ; Computer and Information Systems Applications ; Formal Languages and Automata Theory ; open access ; concept lattices ; data mining ; databases ; fca ; formal concept analysis ; formal languages ; formal logic ; information analysis ; information systems ; knowledge-based system ; model-based reasoning ; network protocols ; ontologies ; Information retrieval ; Internet searching ; Network hardware ; Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    The Impact of Digital Technologies on Public Health in Developed and Developing Countries (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic.
    Keywords: Computer Communication Networks ; Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Special Purpose and Application-Based Systems ; Computer System Implementation ; User Interfaces and Human Computer Interaction ; Computer and Information Systems Applications ; open access ; artificial intelligence ; communication systems ; computer vision ; databases ; hci ; human-computer interaction ; image processing ; Internet of Things ; IoT ; machine learning ; network protocols ; sensors ; signal processing ; software architecture ; software design ; telecommunication networks ; telecommunication systems ; user interfaces ; wireless telecommunication systems ; Network hardware ; Artificial intelligence ; Information retrieval ; Internet searching ; Expert systems / knowledge-based systems ; Systems analysis & design ; User interface design & usability ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; 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::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability
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    Concepts in Action (2021)
    Springer Nature | Springer
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    Publication Date: 2024-03-24
    Description: This open access book is a timely contribution in presenting recent issues, approaches, and results that are not only central to the highly interdisciplinary field of concept research but also particularly important to newly emergent paradigms and challenges. The contributors present a unique, holistic picture for the understanding and use of concepts from a wide range of fields including cognitive science, linguistics, philosophy, psychology, artificial intelligence, and computer science. The chapters focus on three distinct points of view that lie at the core of concept research: representation, learning, and application. The contributions present a combination of theoretical, experimental, computational, and applied methods that appeal to students and researchers working in these fields.
    Keywords: Conceptual Spaces ; Concept and Representation ; Learning, Language and Application ; Robotics and Typicality ; Compositionality and Concepts ; Concept Research ; Concept Research and Machine Learning ; thema EDItEUR::C Language and Linguistics::CB Language: reference and general::CBX Language: history and general works ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of mind ; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTL Philosophy: logic
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    Brain-Inspired Computing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.
    Keywords: artificial intelligence ; communication systems ; computer hardware ; computer networks ; computer programming ; computer systems ; computer vision ; deep learning ; distributed computer systems ; image analysis ; image processing ; machine learning ; network protocols ; neural networks ; signal processing ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; 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::UYQV Computer vision ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
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    Knowledge Graphs and Big Data Processing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
    Keywords: Database Management ; Information Systems Applications (incl. Internet) ; Logic in AI ; Computer Appl. in Administrative Data Processing ; Business Information Systems ; Computer and Information Systems Applications ; Computer Application in Administrative Data Processing ; artificial intelligence ; big data ; data analytics ; data handling ; data integration ; data mining ; databases ; digital storage ; domain knowledge ; graph theory ; information management ; information technology ; integrated data ; internet ; knowledge management ; knowledge-based system ; ontologies ; semantics ; Databases ; Database programming ; Information retrieval ; Internet searching ; Artificial intelligence ; Public administration ; Information technology: general issues ; Business mathematics & systems ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration ; thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJQ Business mathematics and systems
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    Computer Aided Verification (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.
    Keywords: Software Engineering ; Theory of Computation ; Artificial Intelligence ; Computer Systems Organization and Communication Networks ; Computer Hardware ; Simulation and Modeling ; Computer Engineering and Networks ; Computer Science ; architecture verification and validation ; artificial intelligence ; automata theory ; computer systems ; correlation analysis ; distributed computer systems ; embedded systems ; formal languages ; formal logic ; linguistics ; model checking ; programming languages ; semantics ; software architecture ; software design ; software quality ; verification and validation ; Open Access ; Computer science ; Mathematical theory of computation ; Artificial intelligence ; Computer networking & communications ; Computer hardware ; Computer modelling & simulation ; 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::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::UK Computer hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation
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    Foundations of Software Science and Computation Structures (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 24th International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2021, which was held during March 27 until 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 28 regular papers presented in this volume were carefully reviewed and selected from 88 submissions. They deal with research on theories and methods to support the analysis, integration, synthesis, transformation, and verification of programs and software systems.
    Keywords: Mathematical Logic and Formal Languages ; Theory of Computation ; Natural Language Processing (NLP) ; Database Management ; Programming Techniques ; Formal Languages and Automata Theory ; automata theory ; databases ; formal languages ; formal logic ; computational linguistics ; open access ; semantics ; 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 ; logical foundations of data bases ; models of software security ; logical aspects of computation complexity ; logics of programming ; Mathematical theory of computation ; Computer science ; Natural language & machine translation ; Database programming ; Computer programming / software engineering ; 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::UN Databases ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering
    Language: English
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    Fundamental Approaches to Software Engineering (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 24th International Conference on Fundamental Approaches to Software Engineering, FASE 2021, which took place during March 27–April 1, 2021, and was held as part of the Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg but changed to an online format due to the COVID-19 pandemic. The 16 full papers presented in this volume were carefully reviewed and selected from 52 submissions. The book also contains 4 Test-Comp contributions.
    Keywords: Software Engineering/Programming and Operating Systems ; Data Structures and Information Theory ; Natural Language Processing (NLP) ; Programming Techniques ; Theory of Computation ; Software Engineering ; architecture verification and validation ; artificial intelligence ; embedded systems ; empirical software validation ; formal logic ; formal methods ; model checking ; model-driven software engineering ; object-oriented programming ; parallel processing systems ; program analysis ; program compilers ; signal processing ; software architecture ; software performance ; software selection and adaptation ; software testing and debugging ; telecommunication systems ; verification ; Operating systems ; Algorithms & data structures ; Information theory ; Natural language & machine translation ; Computer programming / software engineering ; Computer science ; Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; 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 ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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    Computer Aided Verification (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021. The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections: Part I: invited papers; AI verification; concurrency and blockchain; hybrid and cyber-physical systems; security; and synthesis. Part II: complexity and termination; decision procedures and solvers; hardware and model checking; logical foundations; and software verification. This is an open access book.
    Keywords: architecture verification ; artificial intelligence ; automata theory ; computer programming ; distributed computer systems ; distributed systems ; embedded systems ; formal languages ; formal logic ; formal methods ; model checking ; software architecture ; software design ; software engineering ; software quality ; temporal logic ; verification techniques ; 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::UM Computer programming / software engineering ; 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::UYM Computer modelling and simulation
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    Smart Technologies for Precision Assembly (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the refereed post-conference proceedings of the 9th IFIP WG 5.5 International Precision Assembly Seminar, IPAS 2020, held virtually in December 2020. The 16 revised full papers and 10 revised short papers presented together with 1 keynote paper were carefully reviewed and selected from numerous submissions. The papers address topics such as assembly design and planning; assembly operations; assembly cells and systems; human centred assembly; and assistance methods in assembly.
    Keywords: Computer Applications ; Special Purpose and Application-Based Systems ; User Interfaces and Human Computer Interaction ; Robotics ; Computer and Information Systems Applications ; open access ; artificial intelligence ; computer vision ; hci ; human engineering ; human-computer interaction ; image processing ; manipulators ; mobile robots ; motion planning ; network protocols ; robots ; sensors ; signal processing ; software engineering ; telecommunication networks ; user interfaces ; Information technology: general issues ; Expert systems / knowledge-based systems ; User interface design & usability ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction
    Language: English
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    AI based Robot Safe Learning and Control (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-11
    Description: This open access book mainly focuses on the safe control of robot manipulators. The control schemes are mainly developed based on dynamic neural network, which is an important theoretical branch of deep reinforcement learning. In order to enhance the safety performance of robot systems, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments, obstacle avoidance in dynamic workspace. The idea for this book on solving safe control of robot arms was conceived during the industrial applications and the research discussion in the laboratory. Most of the materials in this book are derived from the authors’ papers published in journals, such as IEEE Transactions on Industrial Electronics, neurocomputing, etc. This book can be used as a reference book for researcher and designer of the robotic systems and AI based controllers, and can also be used as a reference book for senior undergraduate and graduate students in colleges and universities.
    Keywords: Robotics and Automation ; Control and Systems Theory ; Artificial Intelligence ; Robotic Engineering ; Safe Control ; Deep Reinforcement Learning ; Recurrent Neural Network ; Force Control ; Obstacle Ovoidance ; Adaptive Control ; Trajectory Tracking ; Open Access ; Robotics ; Automatic control engineering ; Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering::TJFM1 Robotics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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    Fundamental Approaches to Software Engineering (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 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 23 full papers, 1 tool paper and 6 testing competition papers presented in this volume were carefully reviewed and selected from 81 submissions. The papers cover topics such as requirements engineering, software architectures, specification, software quality, validation, verification of functional and non-functional properties, model-driven development and model transformation, software processes, security and software evolution.
    Keywords: Software Engineering ; Special Purpose and Application-Based Systems ; Control Structures and Microprogramming ; Computer System Implementation ; Information Systems and Communication Service ; Artificial Intelligence ; open access ; software engineering ; requirements engineering ; model-based design ; software analysis ; testing ; software architectures ; security ; model transformations ; software evolution ; software product lines ; architecting ; artificial intelligence ; computer programming ; computer systems ; embedded systems ; mathematics ; software architecture ; software design ; Expert systems / knowledge-based systems ; Algorithms & data structures ; Systems analysis & design ; Computer networking & communications ; Artificial intelligence ; 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::UYQE Expert systems / knowledge-based systems ; 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::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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    Programming Languages and Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 29th European Symposium on Programming, ESOP 2020, which was planned to take place in Dublin, Ireland, in April 2020, as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The actual ETAPS 2020 meeting was postponed due to the Corona pandemic. The papers deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
    Keywords: Programming Languages, Compilers, Interpreters ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Information Systems and Communication Service ; Natural Language Processing (NLP) ; Theory of Computation ; artificial intelligence ; computer networks ; computer programming ; computer security ; distributed computer systems ; embedded systems ; formal languages ; formal logic ; linguistics ; mathematics ; model checking ; object-oriented programming ; parallel processing systems ; program compilers ; semantics ; software architecture ; software design ; software engineering ; software quality ; verification and validation ; Programming & scripting languages: general ; Compilers & interpreters ; Computer networking & communications ; Algorithms & data structures ; Natural language & machine translation ; Computer science ; Mathematical theory of computation ; 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::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::UYQL Natural language and machine translation ; thema EDItEUR::U Computing and Information Technology::UY Computer science
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    Representation Learning for Natural Language Processing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
    Keywords: Natural Language Processing (NLP) ; Computational Linguistics ; Artificial Intelligence ; Data Mining and Knowledge Discovery ; Open Access ; Deep Learning ; Representation Learning ; Knowledge Representation ; Word Representation ; Document Representation ; Big Data ; Machine Learning ; Natural Language Processing ; Natural language & machine translation ; Computational linguistics ; Artificial intelligence ; Data mining ; Expert systems / knowledge-based systems ; 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::UN Databases::UNF Data mining
    Language: English
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    Computer Aided Verification (2021)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021. The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections: Part I: invited papers; AI verification; concurrency and blockchain; hybrid and cyber-physical systems; security; and synthesis. Part II: complexity and termination; decision procedures and solvers; hardware and model checking; logical foundations; and software verification.
    Keywords: architecture verification ; artificial intelligence ; computer programming ; distributed computer systems ; distributed systems ; embedded systems ; formal logic ; formal methods ; formal verifications ; model checker ; model checking ; signal processing ; software architecture ; software design ; software engineering ; software quality ; 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::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation
    Language: English
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    An Introduction to Ethics in Robotics and AI (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-08
    Description: This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.
    Keywords: Engineering Ethics ; Robotics ; Applied Psychology ; Moral Philosophy and Applied Ethics ; Behavioral Sciences and Psychology ; AI and ethics ; ethics and robotics ; descriptive ethics ; relationship between ethics and law ; machine ethics ; machine meta-ethics ; machine normative ethics ; types of AI systems ; strong and weak AI ; challenges of AI ; Open Access ; Ethics & moral philosophy ; Technology: general issues ; Artificial intelligence ; Psychology ; bic Book Industry Communication::H Humanities::HP Philosophy::HPQ Ethics & moral philosophy ; bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence ; bic Book Industry Communication::J Society & social sciences::JM Psychology ; 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::UYQ Artificial intelligence ; thema EDItEUR::J Society and Social Sciences::JM Psychology
    Language: English
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    Computer Aided Verification (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.* The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical sections: Part I: AI verification; blockchain and Security; Concurrency; hardware verification and decision procedures; and hybrid and dynamic systems. Part II: model checking; software verification; stochastic systems; and synthesis. *The conference was held virtually due to the COVID-19 pandemic.
    Keywords: Software Engineering ; Theory of Computation ; Computer Systems Organization and Communication Networks ; Artificial Intelligence ; Information Systems and Communication Service ; Computer Hardware ; Computer Engineering and Networks ; Database Management System ; architecture verification and validation ; artificial intelligence ; computer hardware ; computer networks ; computer programming ; computer systems ; data security ; distributed computer systems ; embedded systems ; formal logic ; linguistics ; model checking ; network protocols ; parallel processing systems ; signal processing ; software architecture ; software design ; software quality ; verification and validation ; Open Access ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Artificial intelligence ; Computer hardware ; 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::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware
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    New Metropolitan Perspectives (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: ​This open access book presents the outcomes of the symposium “NEW METROPOLITAN PERSPECTIVES,” held at Mediterranea University, Reggio Calabria, Italy on May 26–28, 2020. Addressing the challenge of Knowledge Dynamics and Innovation-driven Policies Towards Urban and Regional Transition, the book presents a multi-disciplinary debate on the new frontiers of strategic and spatial planning, economic programs and decision support tools in connection with urban–rural area networks and metropolitan centers. The respective papers focus on six major tracks: Innovation dynamics, smart cities and ICT; Urban regeneration, community-led practices and PPP; Local development, inland and urban areas in territorial cohesion strategies; Mobility, accessibility and infrastructures; Heritage, landscape and identity;and Risk management,environment and energy. The book also includes a Special Section on Rhegion United Nations 2020-2030. Given its scope, the book will benefit all researchers, practitioners and policymakers interested in issues concerning metropolitan and marginal areas.
    Keywords: Computational Intelligence ; Urban Economics ; Regional and Spatial Economics ; Integrated Approach of Sustainable Urban Development ; Metropolitan City: Issues and Challenges ; Urban Regeneration: Community Involvement and PPP ; Heritage and Identity ; Economic-Estimative Dynamics and Valuation Tools ; Open Access ; Artificial intelligence ; Urban economics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVS Regional / urban economics
    Language: English
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    Foundations of Software Science and Computation Structures (2020)
    Springer Nature | Springer
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    Publication Date: 2024-04-04
    Description: This open access book constitutes the proceedings of the 23rd International Conference on Foundations of Software Science and Computational Structures, FOSSACS 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 31 regular papers presented in this volume were carefully reviewed and selected from 98 submissions. The papers cover topics such as 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, correctness, transformation, and verification; logics of programming; software specification and refinement; models of concurrent, reactive, stochastic, distributed, hybrid, and mobile systems; emerging models of computation; logical aspects of computational complexity; models of software security; and logical foundations of data bases.​
    Keywords: Mathematical Logic and Foundations ; Discrete Mathematics in Computer Science ; Programming Languages, Compilers, Interpreters ; Programming Techniques ; Logic in AI ; Computer Systems Organization and Communication Networks ; 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, correctness, transformation, and verification ; logics of programming ; software specification and refinement ; emerging models of computation ; logical aspects of computational complexity ; models of software security ; logical foundations of data bases ; mathematics ; artificial intellegence ; formal logic ; linguistics ; Mathematical foundations ; Mathematical logic ; Discrete mathematics ; Maths for computer scientists ; Programming & scripting languages: general ; Compilers & interpreters ; Computer programming / software engineering ; Artificial intelligence ; Computer networking & communications ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBC Mathematical foundations ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBD Discrete mathematics ; 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::UM Computer programming / 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
    Language: English
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    Haptics: Science, Technology, Applications (2020)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2020, held in Leiden, The Netherlands, in September 2020. The 60 papers presented in this volume were carefully reviewed and selected from 111 submissions. The were organized in topical sections on haptic science, haptic technology, and haptic applications. This year's focus is on accessibility.
    Keywords: User Interfaces and Human Computer Interaction ; Robotics ; Special Purpose and Application-Based Systems ; Information Systems Applications (incl. Internet) ; Image Processing and Computer Vision ; Computer and Information Systems Applications ; Computer Vision ; communication systems ; computer networks ; data communication systems ; display devices ; engineering ; haptic devices ; haptic interfaces ; human engineering ; Human-Computer Interaction (HCI) ; mobile computing ; network protocols ; robotics ; signal processing ; telecommunication networks ; user interfaces ; virtual reality ; wireless telecommunication systems ; User interface design & usability ; Artificial intelligence ; Expert systems / knowledge-based systems ; Information retrieval ; Internet searching ; Image processing ; Computer vision ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZG User interface design and usability ; 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::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
    Language: English
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