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1 Volchenkov, Dimitri Mathematical Methods in Modern Complexity Science I12384 2022 Book  
2 Uncini, Aurelio Digital Audio Processing Fundamentals I12272 2022 Book  
3 Bhatawdekar, Ramesh M Environmental Issues of Blasting I11955 2021 eBook  
4 Huang, Haiping Statistical Mechanics of Neural Networks I11949 2021 eBook  
5 Ahrweiler, Petra Advances in Social Simulation I11751 2021 eBook  
6 Zelinka, Ivan Intelligent Astrophysics I11743 2021 eBook  
7 Kulasiri, Don Chemical Master Equation for Large Biological Networks I11686 2021 eBook  
8 Cerquitelli, Tania Predictive Maintenance in Smart Factories I11670 2021 eBook  
9 Ant??o, R??mulo Type-2 Fuzzy Logic I10250 2017 eBook  
10 Gon??alves, Bruno Complex Networks VIII I10047 2017 eBook  
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TitleMathematical Methods in Modern Complexity Science
Author(s)Volchenkov, Dimitri;Tenreiro Machado, J. A
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionX, 197 p. 94 illus., 69 illus. in color : online resource
Abstract NoteThis book presents recent developments in nonlinear and complex systems. It provides recent theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers information theory, relativistic chaotic dynamics, data analysis, relativistic chaotic dynamics, solvability issues in integro-differential equations, and inverse problems for parabolic differential equations, synchronization and chaotic transient. Presents new concepts for understanding and modeling complex systems
ISBN,Price9783030794125
Keyword(s)1. Applied Dynamical Systems 2. Computational Intelligence 3. DYNAMICS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Engineering???Data processing 8. Mathematical and Computational Engineering Applications 9. MATHEMATICAL PHYSICS 10. NONLINEAR THEORIES
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2.     
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TitleDigital Audio Processing Fundamentals
Author(s)Uncini, Aurelio
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXVI, 716 p. 533 illus., 413 illus. in color : online resource
Abstract NoteThe book provides an accessible overview of audio signal processing, and enables readers to design and write algorithms for the analysis, synthesis, and manipulation of musical and acoustic signals for any programming language. It provides an overview of highly interdisciplinary topics developed in a simple but rigorous way, and described in a unified and formal language which focuses on determining discrete-time audio signal models. Readers can find within a self-contained volume basic topics ranging over different disciplines: mechanical acoustics, physical systems and linear and nonlinear models, with lumped and distributed parameters; described and developed with the same level of mathematical formalism, easy to understand and oriented to the development of algorithms. Topics include the fundamental concepts of acoustic mechanics and vibration; the design of filters and equalizers for sound signals, the so-called audio effects, abstract methods of sound synthesis, and finally, methods of synthesis by physical modeling
ISBN,Price9783031142284
Keyword(s)1. ACOUSTICS 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. SIGNAL PROCESSING 8. Speech and Audio Processing 9. Speech processing systems
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TitleEnvironmental Issues of Blasting : Applications of Artificial Intelligence Techniques
Author(s)Bhatawdekar, Ramesh M;Armaghani, Danial Jahed;Azizi, Aydin
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionIX, 77 p. 9 illus., 8 illus. in color : online resource
Abstract NoteThis book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards
ISBN,Price9789811682377
Keyword(s)1. Computational Intelligence 2. EBOOK 3. EBOOK - SPRINGER 4. Engineering geology 5. ENVIRONMENTAL MANAGEMENT 6. Geoengineering 7. GEOPHYSICS 8. Geotechnical engineering 9. Geotechnical Engineering and Applied Earth Sciences 10. MACHINE LEARNING
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TitleStatistical Mechanics of Neural Networks
Author(s)Huang, Haiping
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 296 p. 62 illus., 40 illus. in color : online resource
Abstract NoteThis book highlights a comprehensive introduction to the fundamental statistical mechanics underneath the inner workings of neural networks. The book discusses in details important concepts and techniques including the cavity method, the mean-field theory, replica techniques, the Nishimori condition, variational methods, the dynamical mean-field theory, unsupervised learning, associative memory models, perceptron models, the chaos theory of recurrent neural networks, and eigen-spectrums of neural networks, walking new learners through the theories and must-have skillsets to understand and use neural networks. The book focuses on quantitative frameworks of neural network models where the underlying mechanisms can be precisely isolated by physics of mathematical beauty and theoretical predictions. It is a good reference for students, researchers, and practitioners in the area of neural networks
ISBN,Price9789811675706
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computational Intelligence 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Models of Cognitive Processes and Neural Networks 6. Neural networks (Computer science)?? 7. STATISTICAL MECHANICS 8. STATISTICAL PHYSICS
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TitleAdvances in Social Simulation : Proceedings of the 15th Social Simulation Conference: 23???27 September 2019
Author(s)Ahrweiler, Petra;Neumann, Martin
PublicationCham, Springer International Publishing, 2021.
DescriptionXXII, 603 p. 140 illus., 108 illus. in color : online resource
Abstract NoteThis book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields.
ISBN,Price9783030615031
Keyword(s)1. COMPLEX SYSTEMS 2. Computational Intelligence 3. Computational Physics and Simulations 4. COMPUTER SIMULATION 5. EBOOK 6. EBOOK - SPRINGER 7. MATHEMATICAL PHYSICS 8. SYSTEM THEORY
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TitleIntelligent Astrophysics
Author(s)Zelinka, Ivan;Brescia, Massimo;Baron, Dalya
PublicationCham, Springer International Publishing, 2021.
DescriptionVIII, 296 p. 126 illus., 108 illus. in color : online resource
Abstract NoteThis present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics.
ISBN,Price9783030658670
Keyword(s)1. ASTROPHYSICS 2. Computational Intelligence 3. Data Engineering 4. EBOOK 5. EBOOK - SPRINGER 6. Engineering???Data processing
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TitleChemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI
Author(s)Kulasiri, Don;Kosarwal, Rahul
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXVIII, 217 p. 372 illus., 104 illus. in color : online resource
Abstract NoteThis book highlights the theory and practical applications of the chemical master equation (CME) approach for very large biochemical networks, which provides a powerful general framework for model building in a variety of biological networks. The aim of the book is to not only highlight advanced numerical solution methods for the CME, but also reveal their potential by means of practical examples. The case studies presented are mainly from biology; however, the applications from novel methods are discussed comprehensively, underlining the interdisciplinary approach in simulation and the potential of the chemical master equation approach for modelling bionetworks. The book is a valuable guide for researchers, graduate students, and professionals alike
ISBN,Price9789811653513
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. BIOINFORMATICS 3. BIOMATHEMATICS 4. Computational and Systems Biology 5. Computational Intelligence 6. Computational Physics and Simulations 7. COMPUTER SIMULATION 8. EBOOK 9. EBOOK - SPRINGER 10. Mathematical and Computational Biology 11. MATHEMATICAL PHYSICS
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TitlePredictive Maintenance in Smart Factories : Architectures, Methodologies, and Use-cases
Author(s)Cerquitelli, Tania;Nikolakis, Nikolaos;O???Mahony, Niamh;Macii, Enrico;Ippolito, Massimo;Makris, Sotirios
PublicationSingapore, Springer Nature Singapore, 2021.
DescriptionXIV, 234 p. 117 illus., 108 illus. in color : online resource
Abstract NoteThis book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence
ISBN,Price9789811629402
Keyword(s)1. Communications Engineering, Networks 2. COMPLEX SYSTEMS 3. Computational Intelligence 4. DATABASE MANAGEMENT 5. Database Management System 6. EBOOK 7. EBOOK - SPRINGER 8. Industrial and Production Engineering 9. Industrial engineering 10. Production engineering 11. SYSTEM THEORY 12. TELECOMMUNICATION
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9.     
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TitleType-2 Fuzzy Logic : Uncertain Systems??? Modeling and Control
Author(s)Ant??o, R??mulo
PublicationSingapore, 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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10.    
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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, 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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