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  • Books  (367)
  • Springer
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  • 1
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    Sustainable Qatar (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-16
    Description: This open access book provides a topical overview of the key sustainability issues in Qatar, focusing on environmental sustainability from a socio-political perspective. The transition to a sustainable Qatar requires engagement with diverse areas of social-political, human, and environmental development. On the environmental aspects, the contributors address climate change, food security, water reuse and desalination, energy, and biodiversity. The socio-political section examines state strategy and regulation, the place of environmental law and geopolitics and sustainability innovators and catalysts. The human section considers economics, sustainability education, the knowledge economy, and waste management. In doing so, the book demarcates the ways in which the country encounters and grapples with significant challenges and delves into the range of options for future pathways to sustainability in Qatar. Relevant to policymakers and scholars in energy and environment, urban and developmental studies, as well as the arenas of politics, climate change and policy, this book is a landmark collection on environmental policy in the Gulf and beyond. ; This volume provides a topical overview of the key sustainability issues in Qatar, focusing on environmental sustainability from a socio-political perspective. The transition to a sustainable Qatar weaves together pillars of social-political, human, and environmental development, and so this book tackles each aspect accordingly. In the environmental section, the contributors address climate change, food security, water reuse and desalination, energy, air quality and biodiversity. The socio-political section examines state strategy and regulation, the place of environmental law and geopolitics, and sustainability innovators and catalysts. The human section considers demographic trends and models, economics – including the circular economy and green finance – transport, the built environment, and waste management. In doing so, the volume demarcates the ways in which the country encounters and grapples with significant challenges, and delves into the range of options for future pathways to sustainability in Qatar. Relevant to policymakers and scholars in energy and environment, urban, and developmental studies, as well as the arenas of politics, climate change, and policy, this book is a landmark collection on environmental policy in the Gulf, and beyond.
    Keywords: Sustainability ; Qatar ; Middle East ; Gulf Studies ; Food Security ; Water Security ; Energy ; Development ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTP Development studies ; thema EDItEUR::J Society and Social Sciences::JP Politics and government
    Language: English
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  • 2
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    Regularized System Identification (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The authors’ reformulation of the identification problem in the light of regularization theory not only offers new insight on classical questions, but paves the way to new and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector machines are the basis of techniques that extend the function-estimation problem to the estimation of dynamic models. Many examples, also from real-world applications, illustrate the comparative advantages of the new nonparametric approach with respect to classic parametric prediction error methods. The challenges it addresses lie at the intersection of several disciplines so Regularized System Identification will be of interest to a variety of researchers and practitioners in the areas of control systems, machine learning, statistics, and data science. This is an open access book.
    Keywords: System Identification ; Machine Learning ; Linear Dynamical Systems ; Nonlinear Dynamical Systems ; Kernel-based Regularization ; Bayesian Interpretation of Regularization ; Gaussian Processes ; Reproducing Kernel Hilbert Spaces ; Estimation Theory ; Support Vector Machines ; Regularization Networks ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering ; thema EDItEUR::P Mathematics and Science::PH Physics::PHS Statistical physics ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics::PBTB Bayesian inference ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics ; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory
    Language: English
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  • 3
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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 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The total of 60 regular papers presented in these volumes was carefully reviewed and selected from 155 submissions. The papers are organized in topical sections as follows: Part I: Program verification; SAT and SMT; Timed and Dynamical Systems; Verifying Concurrent Systems; Probabilistic Systems; Model Checking and Reachability; and Timed and Probabilistic Systems. Part II: Bisimulation; Verification and Efficiency; Logic and Proof; Tools and Case Studies; Games and Automata; and SV-COMP 2020.
    Keywords: Software Engineering/Programming and Operating Systems ; Special Purpose and Application-Based Systems ; Computer System Implementation ; Control Structures and Microprogramming ; Mathematics of Computing ; open access ; specification and verification techniques ; software and hardware verification ; SAT and SMT solving ; theorem proving ; model checking ; static and dynamic program analysis ; testing ; system construction and transformation techniques ; tool environments and tool architectures ; abstraction techniques for modeling and verification ; compositional and refinement-based methodologies ; mathematics ; software engineering ; software design ; architecting ; software architecture ; embedded systems ; automata theory ; linguistics ; Software Engineering ; Operating systems ; Expert systems / knowledge-based systems ; Systems analysis & design ; Algorithms & data structures ; Mathematical theory of computation ; Maths for computer scientists ; 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::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
    Language: English
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  • 4
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    Digital Humanism (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book deals with cultural and philosophical aspects of artificial intelligence (AI) and pleads for a “digital humanism”. This term is beginning to be en vogue everywhere. Due to a growing discontentment with the way digitalization is being used in the world, particularly formulated by former heroes of Internet, social media and search engine companies, philosophical as well as industrial thought leaders begin to plead for a humane use of digital tools. Yet the term “digital humanism” is a particular terminology that lacks a sound conceptual and philosophical basis and needs clarification still – and this gap is exactly filled by this book. It propagates a vision of society in which digitization is used to strengthen human self-determination, autonomy and dignity and whose time has come to be propagated throughout the world. The advantage of this book is that it is philosophically sound and yet written in a way that will make it accessible for everybody interested in the subject. Every chapters begins with a film scene illustrating a precise philosophical problem with AI and how we look at it – making the book not only readable, but even entertaining. And after having read the book the reader will have a clear vision of what it means to live in a world where digitization and AI are central technologies for a better and more humane civilization.
    Keywords: Digital Humanism ; Philosophy of Computer Science ; Computer Ethics ; Scientific Communication ; Artificial Intelligence ; Computers and Society ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDA Philosophy of science ; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory ; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology ; thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
    Language: English
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  • 5
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    Forest Radioecology in Fukushima (2022)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This is an open access book that provides holistic information on the radioactive contamination of forests. Topics are highly interdisciplinary, ranging from the dynamics of radioactive cesium in forest ecosystems to the radiation protection or the socio-economic aspects of radiation effects. It is designed to help people understand the radioactive contamination in forests and provide hints of how to cope with it and restore their livelihoods. The book is characterized by its well-balanced structure that allows the reader to understand the whole picture without going into too much scientific content. After explaining the basics of radioactive materials and radiation, the book illustrates the radioactive contamination of forests, it also describes the impacts on the forestry and life of local people and the measures taken by. Few books address the concerns about how to deal with radioactive contamination of forests and the future perspectives. In this book, people can learn all about the Fukushima nuclear accident of forests, forest products, and people with abundant reference materials. In addition, the book contains four memoirs contributed by Japanese and European researchers that graphically record what the researchers thought and how they acted in the chaos of the aftermath of the accident. In 2021 that marking the 10th anniversary of the Fukushima nuclear accident and the 35th anniversary of the Chernobyl accident, nuclear disasters are in the spotlight more than ever. This thought-provoking book on how to prepare for a severe nuclear accident is suitable for sharing with people all over the world as a lesson on the next nuclear accidents, now that the number of nuclear power plants is still increasing. The translation of this work was done with the help of artificial intelligence (machine translation by the service DeepL.com). Intensive improvements were subsequently made by the authors throughout the text to ensure accuracy of expression and contents and to enhance the clarity.
    Keywords: Fukushima accident ; Forestry and forest ecosystem ; Radioecology ; Radiation impact ; Radiation protection ; Auto-translation ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVR Forestry and silviculture ; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere ; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNF Environmental management
    Language: English
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  • 6
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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
    Language: English
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  • 7
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    Big Data in Bioeconomy (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This edited open access book presents the comprehensive outcome of The European DataBio Project, which examined new data-driven methods to shape a bioeconomy. These methods are used to develop new and sustainable ways to use forest, farm and fishery resources. As a European initiative, the goal is to use these new findings to support decision-makers and producers – meaning farmers, land and forest owners and fishermen. With their 27 pilot projects from 17 countries, the authors examine important sectors and highlight examples where modern data-driven methods were used to increase sustainability. How can farmers, foresters or fishermen use these insights in their daily lives? The authors answer this and other questions for our readers. The first four parts of this book give an overview of the big data technologies relevant for optimal raw material gathering. The next three parts put these technologies into perspective, by showing useable applications from farming, forestry and fishery. The final part of this book gives a summary and a view on the future. With its broad outlook and variety of topics, this book is an enrichment for students and scientists in bioeconomy, biodiversity and renewable resources.
    Keywords: Data-driven bioeconomy ; big data ; artificial intelligence ; agriculture ; forestry ; earth observation ; satellite images ; fishery ; open access ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVR Forestry and silviculture ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVB Agricultural science ; thema EDItEUR::U Computing and Information Technology::UN Databases ; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics
    Language: English
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  • 8
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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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  • 9
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    Software for Exascale Computing - SPPEXA 2016-2019 (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in Springer’s series Lecture Notes in Computational Science and Engineering, the corresponding report of SPPEXA’s first funding phase, and provides an overview of SPPEXA’s contributions towards exascale computing in today's sumpercomputer technology. The individual chapters address one or more of the research directions (1) computational algorithms, (2) system software, (3) application software, (4) data management and exploration, (5) programming, and (6) software tools. The book has an interdisciplinary appeal: scholars from computational sub-fields in computer science, mathematics, physics, or engineering will find it of particular interest.
    Keywords: Simulation and Modeling ; Performance and Reliability ; Computational Science and Engineering ; Input/Output and Data Communications ; Mathematical and Computational Engineering ; Numerical and Computational Physics, Simulation ; Computer Science ; Computer Hardware ; Mathematical and Computational Engineering Applications ; Theoretical, Mathematical and Computational Physics ; open access ; computational algorithms and numerical methods ; data management and exploration ; high-performance computing ; simulation software and applications ; system software and software tools ; Computer modelling & simulation ; Systems analysis & design ; Maintenance & repairs ; Maths for scientists ; Computer networking & communications ; Distributed databases ; Maths for engineers ; Mathematical physics ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBJ Maths for engineers ; thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
    Language: English
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  • 10
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    Reversible Computation: Extending Horizons of Computing (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access State-of-the-Art Survey presents the main recent scientific outcomes in the area of reversible computation, focusing on those that have emerged during COST Action IC1405 "Reversible Computation - Extending Horizons of Computing", a European research network that operated from May 2015 to April 2019. Reversible computation is a new paradigm that extends the traditional forwards-only mode of computation with the ability to execute in reverse, so that computation can run backwards as easily and naturally as forwards. It aims to deliver novel computing devices and software, and to enhance existing systems by equipping them with reversibility. There are many potential applications of reversible computation, including languages and software tools for reliable and recovery-oriented distributed systems and revolutionary reversible logic gates and circuits, but they can only be realized and have lasting effect if conceptual and firm theoretical foundations are established first.
    Keywords: Logic Design ; Computer System Implementation ; Computer Communication Networks ; Special Purpose and Application-Based Systems ; Software Engineering ; Operating Systems ; open access ; reversible computation ; semantics of reversible computation ; formal methods ; models of computation ; circuit design ; simulation ; robotics ; debugging ; quantum computing ; wireless communications ; programming languages ; dependability ; modelling of biochemical systems ; computer networks ; engineering ; software engineering ; parallel processing systems ; theoretical computer science ; Computer architecture & logic design ; Systems analysis & design ; Network hardware ; Expert systems / knowledge-based systems ; Operating systems ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYD Systems analysis and design ; 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::UYQE Expert systems / knowledge-based systems ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UL Operating systems
    Language: English
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