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 #  AuthorTitleAccn#YearItem Type Claims
1 Knechtli, Francesco Lattice Quantum Chromodynamics I10410 2017 eBook  
2 Ant??o, R??mulo Type-2 Fuzzy Logic I10250 2017 eBook  
3 Gon??alves, Bruno Complex Networks VIII I10047 2017 eBook  
4 Chui, Charles K Kalman Filtering I09935 2017 eBook  
5 Cornelius, Sean Complex Networks IX I09914 2018 eBook  
6 Aguirre, Anthony Wandering Towards a Goal I09697 2018 eBook  
7 Antonik, Piotr Application of FPGA to Real???Time Machine Learning I09691 2018 eBook  
8 Alonso-Betanzos, Amparo Agent-Based Modeling of Sustainable Behaviors I09535 2017 eBook  
9 Keck, Thomas Machine Learning at the Belle II Experiment I09374 2018 eBook  
10 Schuld, Maria Supervised Learning with Quantum Computers I09145 2018 eBook  
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TitleLattice Quantum Chromodynamics : Practical Essentials
Author(s)Knechtli, Francesco;G??nther, Michael;Peardon, Michael
PublicationDordrecht, 1. Imprint: Springer 2. Springer Netherlands, 2017.
DescriptionXIII, 140 p. 12 illus., 1 illus. in color : online resource
Abstract NoteThis book provides an overview of the techniques central to lattice quantum chromodynamics, including modern developments. The book has four chapters. The first chapter explains the formulation of quarks and gluons on a Euclidean lattice. The second chapter introduces Monte Carlo methods and details the numerical algorithms to simulate lattice gauge fields. Chapter three explains the mathematical and numerical techniques needed to study quark fields and the computation of quark propagators. The fourth chapter is devoted to the physical observables constructed from lattice fields and explains how to measure them in simulations. The book is aimed at enabling graduate students who are new to the field to carry out explicitly the first steps and prepare them for research in lattice QCD
ISBN,Price9789402409994
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. EBOOK 3. EBOOK - SPRINGER 4. Elementary particles (Physics) 5. Elementary Particles, Quantum Field Theory 6. MATHEMATICAL PHYSICS 7. Quantum Field Theories, String Theory 8. QUANTUM FIELD THEORY 9. STRING THEORY
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2.     
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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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3.     
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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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TitleKalman Filtering : with Real-Time Applications
Author(s)Chui, Charles K;Chen, Guanrong
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXVIII, 247 p. 34 illus : online resource
Abstract NoteThis new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications
ISBN,Price9783319476124
Keyword(s)1. APPLIED MATHEMATICS 2. ARTIFICIAL INTELLIGENCE 3. Communications Engineering, Networks 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOMIC THEORY 7. Economic Theory/Quantitative Economics/Mathematical Methods 8. ELECTRICAL ENGINEERING 9. ENGINEERING MATHEMATICS 10. Mathematical and Computational Engineering 11. Mathematical Methods in Physics 12. Numerical and Computational Physics, Simulation 13. PHYSICS
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5.     
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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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6.     
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TitleWandering Towards a Goal : How Can Mindless Mathematical Laws Give Rise to Aims and Intention?
Author(s)Aguirre, Anthony;Foster, Brendan;Merali, Zeeya
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionVIII, 254 p. 46 illus : online resource
Abstract NoteThis collection of prize-winning essays addresses the controversial question of how meaning and goals can emerge in a physical world governed by mathematical laws. What are the prerequisites for a system to have goals? What makes a physical process into a signal? Does eliminating the homunculus solve the problem? The three winning essays, by Larissa Albantakis, Carlo Rovelli and Jochen Szangolies tackle exactly these challenges, while many other aspects (agency, the role of the observer, causality versus teleology, ghosts in the machine etc.) put in an appearance in the other award winning contributions. These seventeen imaginative, stimulating and often entertaining essays are enhanced versions of the prize-winning entries to the FQXi essay competition in 2017. The Foundational Questions Institute, FQXi, catalyzes, supports, and disseminates research on questions at the foundations of physics and cosmology, particularly new frontiers and innovative ideas integral to a deep understanding of reality, but unlikely to be supported by conventional funding sources
ISBN,Price9783319757261
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. History and Philosophical Foundations of Physics 7. MATHEMATICAL LOGIC 8. Mathematical Logic and Foundations 9. Philosophy and science 10. PHILOSOPHY OF SCIENCE 11. PHYSICS 12. STATISTICAL PHYSICS
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7.     
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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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8.     
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TitleAgent-Based Modeling of Sustainable Behaviors
Author(s)Alonso-Betanzos, Amparo;S??nchez-Maro??o, Noelia;Fontenla-Romero, Oscar;Polhill, J. Gary;Craig, Tony;Bajo, Javier;Corchado, Juan Manuel
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXVII, 257 p. 86 illus., 67 illus. in color : online resource
Abstract NoteUsing the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling
ISBN,Price9783319463315
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Computational Social Sciences 3. EBOOK 4. EBOOK - SPRINGER 5. Economic sociology 6. GAME THEORY 7. Game Theory, Economics, Social and Behav. Sciences 8. Organizational Studies, Economic Sociology 9. Social sciences???Computer programs 10. Social sciences???Data processing 11. Sustainable development
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9.     
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TitleMachine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data
Author(s)Keck, Thomas
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXI, 174 p. 84 illus., 16 illus. in color : online resource
Abstract NoteThis book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments. The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts. The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine learning techniques that can be used to control and reduce systematic uncertainties. The third part investigates the important exclusive B tagging technique, unique to physics experiments operating at the ?? resonances, and studies in-depth the novel Full Event Interpretation algorithm, which doubles the maximum tag-side efficiency of its predecessor. The fourth part presents a complete measurement of the branching fraction of the rare leptonic B decay ???B???tau nu???, which is used to validate the algorithms discussed in previous parts
ISBN,Price9783319982496
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. Elementary particles (Physics) 7. Elementary Particles, Quantum Field Theory 8. Measurement Science and Instrumentation 9. Measurement?????? 10. PHYSICAL MEASUREMENTS 11. QUANTUM FIELD THEORY 12. Sociophysics
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10.    
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TitleSupervised Learning with Quantum Computers
Author(s)Schuld, Maria;Petruccione, Francesco
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXIII, 287 p. 83 illus., 48 illus. in color : online resource
Abstract NoteQuantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices
ISBN,Price9783319964249
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. EBOOK 3. EBOOK - SPRINGER 4. Numerical and Computational Physics, Simulation 5. PATTERN RECOGNITION 6. PHYSICS 7. QUANTUM COMPUTERS 8. Quantum computing 9. Quantum Information Technology, Spintronics 10. QUANTUM PHYSICS 11. SPINTRONICS
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