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 #  AuthorTitleAccn#YearItem Type Claims
1 Ant??o, R??mulo Type-2 Fuzzy Logic I10250 2017 eBook  
2 Gon??alves, Bruno Complex Networks VIII I10047 2017 eBook  
3 Cornelius, Sean Complex Networks IX I09914 2018 eBook  
4 Bourgine, Paul First Complex Systems Digital Campus World E-Conference 2015 I09839 2017 eBook  
5 Antonik, Piotr Application of FPGA to Real???Time Machine Learning I09691 2018 eBook  
6 Payne, Diane Social Simulation for a Digital Society I09480 2019 eBook  
7 Farouk, Mohamed Hesham Recent Advances in Engineering Mathematics and Physics I09220 2020 eBook  
8 Barbosa, Hugo Complex Networks XI I09203 2020 eBook  
9 Zhao, Haitao Feature Learning and Understanding I09105 2020 eBook  
10 Cornelius, Sean P Complex Networks X I09067 2019 eBook  
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TitleType-2 Fuzzy Logic : Uncertain Systems??? Modeling and Control
Author(s)Ant??o, R??mulo
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2017.
DescriptionX, 130 p. 71 illus : online resource
Abstract NoteThis book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers???understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model;??using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and??developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets.?? ??Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms??? source codes (provided).??As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty
ISBN,Price9789811046339
Keyword(s)1. APPLICATION SOFTWARE 2. ARTIFICIAL INTELLIGENCE 3. Computational Intelligence 4. Control and Systems Theory 5. Control engineering 6. EBOOK 7. EBOOK - SPRINGER 8. Information Systems Applications (incl. Internet)
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TitleComplex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017
Author(s)Gon??alves, Bruno;Menezes, Ronaldo;Sinatra, Roberta;Zlatic, Vinko
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXIV, 262 p. 88 illus., 75 illus. in color : online resource
Abstract NoteThis book collects the works presented at the 8th International Conference on Complex Networks (CompleNet) 2017 in Dubrovnik, Croatia, on March 21-24, 2017. CompleNet aims at bringing together researchers and practitioners working in areas related to complex networks. The past two decades has witnessed an exponential increase in the number of publications within this field. From biological systems to computer science, from economic to social systems, complex networks are becoming pervasive in many fields of science. It is this interdisciplinary nature of complex networks that CompleNet aims at addressing. The last decades have seen the emergence of complex networks as the language with which a wide range of complex phenomena in fields as diverse as physics, computer science, and medicine (to name a few) can be properly described and understood. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as network controllability, social structure, online behavior, recommendation systems, and network structure
ISBN,Price9783319542416
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. ARTIFICIAL INTELLIGENCE 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Intelligence 6. Computational Social Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. PHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing
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3.     
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TitleComplex Networks IX : Proceedings of the 9th Conference on Complex Networks CompleNet 2018
Author(s)Cornelius, Sean;Coronges, Kate;Gon??alves, Bruno;Sinatra, Roberta;Vespignani, Alessandro
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXV, 350 p. 90 illus., 81 illus. in color : online resource
Abstract NoteThis book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 9th International Conference on Complex Networks (CompleNet) 2018 in Boston, MA in March, 2018. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security
ISBN,Price9783319731988
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. ARTIFICIAL INTELLIGENCE 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Intelligence 6. Computational Social Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. PHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing
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TitleFirst Complex Systems Digital Campus World E-Conference 2015
Author(s)Bourgine, Paul;Collet, Pierre;Parrend, Pierre
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionVIII, 424 p. 120 illus., 96 illus. in color : online resource
Abstract NoteThis book contains the proceedings as well as invited papers for the first annual conference of the UNESCO Unitwin Complex System Digital Campus (CSDC), which is an international initiative gathering 120 Universities on four continents, and structured in ten E-Departments. First Complex Systems Digital Campus World E-Conference 2015 features chapters from the latest research results on theoretical questions of complex systems and their experimental domains. The content contained bridges the gap between the individual and the collective within complex systems science and new integrative sciences on topics such as: genes to organisms to ecosystems, atoms to materials to products, and digital media to the Internet. The conference breaks new ground through a dedicated video-conferencing system ??? a concept at the heart of the international UNESCO UniTwin, embracing scientists from low-income and distant countries. This book promotes an integrated system of research, education, and training. It also aims at contributing to global development by taking into account its social, economic, and cultural dimensions. First Complex Systems Digital Campus World E-Conference 2015 will appeal to students and researchers working in the fields of complex systems, statistical physics, computational intelligence, and biological physics.
ISBN,Price9783319459011
Keyword(s)1. Biological and Medical Physics, Biophysics 2. BIOLOGICAL PHYSICS 3. BIOPHYSICS 4. COMPLEX SYSTEMS 5. COMPLEXITY 6. COMPUTATIONAL COMPLEXITY 7. Computational Intelligence 8. DATA MINING 9. Data Mining and Knowledge Discovery 10. DYNAMICAL SYSTEMS 11. EBOOK 12. EBOOK - SPRINGER 13. STATISTICAL PHYSICS 14. SYSTEM THEORY
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5.     
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TitleApplication of FPGA to Real???Time Machine Learning : Hardware Reservoir Computers and Software Image Processing
Author(s)Antonik, Piotr
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXXII, 171 p. 68 illus., 8 illus. in color : online resource
Abstract NoteThis book lies at the interface of machine learning ??? a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms fail ??? and photonics ??? the physical science of light, which underlies many of the optical communications technologies used in our information society. It provides a thorough introduction to reservoir computing and field-programmable gate arrays (FPGAs). Recently, photonic implementations of reservoir computing (a machine learning algorithm based on artificial neural networks) have made a breakthrough in optical computing possible. In this book, the author pushes the performance of these systems significantly beyond what was achieved before. By interfacing a photonic reservoir computer with a high-speed electronic device (an FPGA), the author successfully interacts with the reservoir computer in real time, allowing him to considerably expand its capabilities and range of possible applications. Furthermore, the author draws on his expertise in machine learning and FPGA programming to make progress on a very different problem, namely the real-time image analysis of optical coherence tomography for atherosclerotic arteries
ISBN,Price9783319910536
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Image Processing and Computer Vision 6. LASERS 7. OPTICAL DATA PROCESSING 8. Optics, Lasers, Photonics, Optical Devices 9. PHOTONICS
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6.     
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TitleSocial Simulation for a Digital Society : Applications and Innovations in Computational Social Science
Author(s)Payne, Diane;Elkink, Johan A;Friel, Nial;Grund, Thomas U;Hochstrasser, Tamara;Lucas, Pablo;Ottewill, Adrian
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionVIII, 218 p. 58 illus., 37 illus. in color : online resource
Abstract Note???Social Simulation for a Digital Society??? provides a cross-section of state-of-the-art research in social simulation and computational social science. With the availability of big data and faster computing power, the social sciences are undergoing a tremendous transformation. Research in computational social sciences has received considerable attention in the last few years, with advances in a wide range of methodologies and applications. Areas of application of computational methods range from the study of opinion and information dynamics in social networks, the formal modeling of resource use, the study of social conflict and cooperation to the development of cognitive models for social simulation and many more. This volume is based on the Social Simulation Conference of 2017 in Dublin and includes applications from across the social sciences, providing the reader with a demonstration of the highly versatile research in social simulation, with a particular focus on public policy relevance in a digital society. Chapters in the book include contributions to the methodology of simulation-based research, theoretical and philosophical considerations, as well as applied work. This book will appeal to students and researchers in the field.
ISBN,Price9783030302986
Keyword(s)1. Computational Intelligence 2. Computational Social Sciences 3. COMPUTER SIMULATION 4. Data-driven Science, Modeling and Theory Building 5. DECISION MAKING 6. EBOOK 7. EBOOK - SPRINGER 8. ECONOPHYSICS 9. OPERATIONS RESEARCH 10. Operations Research/Decision Theory 11. Simulation and Modeling 12. Social sciences???Computer programs 13. Social sciences???Data processing 14. Sociophysics
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7.     
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TitleRecent Advances in Engineering Mathematics and Physics : Proceedings of the International Conference RAEMP 2019
Author(s)Farouk, Mohamed Hesham;Hassanein, Maha Amin
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXIX, 401 p. 252 illus., 148 illus. in color : online resource
Abstract NoteThis book gathers the proceedings of the 4th conference on Recent Advances in Engineering Math. & Physics (RAEMP 2019), which took place in Cairo, Egypt in December 2019. This international and interdisciplinary conference highlights essential research and developments in the field of Engineering Mathematics and Physics and related technologies and applications. The proceedings is organized to follow the main tracks of the conference: Advanced computational techniques in engineering and sciences; computational intelligence; photonics; physical measurements and big data analytics; physics and nano-technologies; and optimization and mathematical analysis
ISBN,Price9783030398477
Keyword(s)1. Computational Intelligence 2. Computational Science and Engineering 3. Computer mathematics 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical Applications in the Physical Sciences 8. MATHEMATICAL PHYSICS 9. Numerical and Computational Physics, Simulation 10. PHYSICS
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8.     
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TitleComplex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020
Author(s)Barbosa, Hugo;Gomez-Gardenes, Jesus;Gon??alves, Bruno;Mangioni, Giuseppe;Menezes, Ronaldo;Oliveira, Marcos
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXVI, 404 p. 163 illus., 134 illus. in color : online resource
Abstract NoteThis book aims to bring together researchers and practitioners from diverse disciplines???from sociology, biology, physics, and computer science???who share a passion to better understand the interdependencies within and across systems. This volume contains contributions presented at the 11th International Conference on Complex Networks (CompleNet) in Exeter, United Kingdom, 31 March - 3 April 2020. CompleNet is a venue for discussing ideas and findings about all types of networks, from biological, to technological, to informational and social. It is this interdisciplinary nature of complex networks that CompleNet aims to explore and celebrate
ISBN,Price9783030409432
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. Computational Intelligence 5. Computational Social Sciences 6. EBOOK 7. EBOOK - SPRINGER 8. PHYSICS 9. Social sciences???Computer programs 10. Social sciences???Data processing
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9.     
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TitleFeature Learning and Understanding : Algorithms and Applications
Author(s)Zhao, Haitao;Lai, Zhihui;Leung, Henry;Zhang, Xianyi
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionXIV, 291 p. 126 illus., 109 illus. in color : online resource
Abstract NoteThis book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence
ISBN,Price9783030407940
Keyword(s)1. Computational Intelligence 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. IMAGE PROCESSING 7. Image Processing and Computer Vision 8. MACHINE LEARNING 9. OPTICAL DATA PROCESSING 10. PATTERN RECOGNITION 11. SIGNAL PROCESSING 12. Signal, Image and Speech Processing 13. Sociophysics 14. Speech processing systems
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10.    
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TitleComplex Networks X : Proceedings of the 10th Conference on Complex Networks CompleNet 2019
Author(s)Cornelius, Sean P;Granell Martorell, Clara;G??mez-Garde??es, Jes??s;Gon??alves, Bruno
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionX, 183 p. 58 illus., 49 illus. in color : online resource
Abstract NoteThis book aims to bring together researchers and practitioners working across domains and research disciplines to measure, model, and visualize complex networks. It collects the works presented at the 10th International Conference on Complex Networks (CompleNet) in Taragona, Spain, March, 2019. With roots in physical, information and social science, the study of complex networks provides a formal set of mathematical methods, computational tools and theories to describe, prescribe and predict dynamics and behaviors of complex systems. Despite their diversity, whether the systems are made up of physical, technological, informational, or social networks, they share many common organizing principles and thus can be studied with similar approaches. This book provides a view of the state-of-the-art in this dynamic field and covers topics such as group decision-making, brain and cellular connectivity, network controllability and resiliency, online activism, recommendation systems, and cyber security. This text will appeal to students and researchers in the field.
ISBN,Price9783030144593
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. ARTIFICIAL INTELLIGENCE 3. COMPLEXITY 4. COMPUTATIONAL COMPLEXITY 5. Computational Intelligence 6. Computational Social Sciences 7. EBOOK 8. EBOOK - SPRINGER 9. PHYSICS 10. Social sciences???Computer programs 11. Social sciences???Data processing
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