Design and Analysis of Learning Classifier Systems : A Probabilistic Approach
This book provides a comprehensive introduction to the design and analysis of Learning Classifier Systems (LCS) from the ...
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Discrete Optimization with Interval Data : Minmax Regret and Fuzzy Approach
This book is a valuable source of information for all operations research practitioners who are interested in modern approaches ...
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Discrete-Time High Order Neural Control : Trained with Kaiman Filtering
The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems ...
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Electronic Commerce : Theory and Practice
This book addresses new trends and innovative aspects in electronic commerce research, including B2B (business to business), ...
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Evolutionary Swarm Robotics : Evolving Self-Organising Behaviours in Groups of Autonomous Robots
In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots ...
Continue readingFinite Difference Computing with Exponential Decay Models
This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, ...
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Finite Element Methods for Engineering Sciences : Theoretical Approach and Problem Solving Techniques
This self-tutorial offers a concise yet thorough grounding in the mathematics necessary for successfully applying FEMs to ...
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Hilbert-Huang Transform Analysis Of Hydrological And Environmental Time Series
The Hilbert-Huang Transform ((HHT) is a recently developed technique which is used to analyze nonstationary data. Hydrologic ...
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Hybrid Metaheuristics : An Emerging Approach to Optimization
The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers ...
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Information Technologies in Biomedicine
As the medical information systems have been integrated in order to address the core of medicine, including patient care ...
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Innovations in Bayesian Networks : Theory and Applications
Bayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. ...
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Intelligence and Security Informatics : Techniques and Applications
This book, INTELLIGENCE and SECURITY INFORMATICS: TECHNIQUES & APPLICATIONS, presents a collection of works discussing terrorism ...
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International Symposium on Mathematics, Quantum Theory, and Cryptography Proceedings of MQC 2019
This book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), ...
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Introduction to PHP for Scientists and Engineers : Beyond JavaScript
This text presents key information needed to write your own online science and engineering applications, including reading, ...
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Kinematics and Dynamics of Multibody Systems with Imperfect Joints : Models and Case Studies
The primary goal of this book is to present suitable methodologies for dynamic analysis of multibody mechanical systems with ...
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Knowledge-Driven Computing : Knowledge Engineering and Intelligent Computations
Knowledge-Driven Computing constitutes an emerging area of intensive research located at the intersection of Computational ...
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Linkage in Evolutionary Computation
The whole volume consisting of 19 chapters is divided into 3 parts: Models and Theories; Operators and Frameworks; Applications. ...
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Mathematical Methods for Engineers and Geoscientists
This book introduces and explains classical and modern mathematical procedures as applied to the real problems confronting ...
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Multibody Dynamics : Computational Methods and Applications
Multibody Dynamics is an area of Computational Mechanics which blends together various disciplines such as structural dynamics, ...
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Multimedia Services in Intelligent Environments : Advanced Tools and Methodologies
This book presents a sample of recent research results in multimedia services. Besides the introductory chapter, this book ...
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