Bücher der Reihe Intelligent Systems Reference Library

The success of a BCI system depends as much on the system itself as on the user's ability to produce distinctive EEG activity.

Ideal as a reference both for experienced users and novices, this publication combines a thorough introduction to evolutionary computation with details of its application to real-world problems and advice on tackling a wealth of issues in its implementation.

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Living beings require constant information processing for survival. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language.

Living beings require constant information processing for survival. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language.

This book is devoted to a novel approach for dimensionality reduction based on the famous nearest neighbor method that is a powerful classification and regression approach.

This book illustrates recent bio-inspired efficient algorithms for solving NP-hard problems. Discusses theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots, variations of the Traveling Salesman Problem and more.

Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.).

The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches.We are proud to offer the readers this book.

This crucial addition to the literature features internationally renowned authorities in science, computer science, and modeling and simulation, who explain the contribution that ontology, epistemology and teleology will make to next-generation applications.

The submitted papers prove that interest in rough set research is growing and is possible to see many new excellent results both on theoretical foundations and applications of rough sets alone or in combination with other approaches.We are proud to offer the readers this book.

Decision making arises when we wish to select the best possible course of action from a set of alternatives. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes.

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives.

This book is written as an introduction to annotated logics. It provides logical foundations for annotated logics, discusses some interesting applications of these logics and also includes the authors' contributions to annotated logics.

This book introduces new trends of theory and practice of information technologies in tourism. Travel information on the web provided by travelers is very useful for other travelers make their travel plan.

This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes.

This book offers a new perspective on human decision-making by comparing the established methods in decision science with innovative modelling at the level of neurons and neural interactions.

This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers¿from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.¿who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.

This book presents some of the latest applications of new theories based on the concept of paraconsistency and correlated topics in informatics, such as pattern recognition (bioinformatics), robotics, decision-making themes, and sample size.

The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process.

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the workplace and human relationships. Synergies between physical, digital, biological and energy sciences and technologies, brought together by non-traditional data collection and analysis, drive the digital economy at all levels and offer new, previously-unavailable opportunities.The need for data analytics arises in most modern scientific disciplines, including engineering; natural-, computer- and information sciences; economics; business; commerce; environment; healthcare; and life sciences.Coming as the third volume under the general title MACHINE LEARNING PARADIGMS, the book includes an editorial note (Chapter 1) and an additional 12 chapters, and is divided into five parts: (1) Data Analytics in the Medical, Biological and Signal Sciences, (2) Data Analytics in Social Studies and Social Interactions, (3) Data Analytics in Traffic, Computer and Power Networks, (4) Data Analytics for Digital Forensics, and (5) Theoretical Advances and Tools for Data Analytics.This research book is intended for both experts/researchers in the field of data analytics, and readers working in the fields of artificial and computational intelligence as well as computer science in general who wish to learn more about the field of data analytics and its applications. An extensive list of bibliographic references at the end of each chapter guides readers to probe further into the application areas of interest to them.

This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems.

Surprisingly information systems are quite different fromconventional (energy, material-intensive) artificial systems, and ratherresemble biological systems (information-intensive systems).

This book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. In CP, two types of near sets are considered, namely, spatially near sets and descriptivelynear sets.

This volume introduces new approaches in intelligent control area fromboth the viewpoints of theory and application. Some of the chapters introduce specific case studies of various intelligentcontrol systems and others focus on intelligent theory based control techniqueswith applications.

This book presents an Introduction and 11 independent chapters, whichare devoted to various new approaches of intelligent image processing andanalysis. The book also presents new methods, algorithms and applied systemsfor intelligent image processing, on the following basic topics:Methods for Hierarchical Image Decomposition;Intelligent Digital Signal Processing and Feature Extraction;Data Clustering and Visualization via Echo State Networks;Clustering of Natural Images in Automatic Image Annotation Systems;Control System for Remote Sensing Image Processing;Tissue Segmentation of MR Brain Images Sequence;Kidney Cysts Segmentation in CT Images;Audio Visual Attention Models in Mobile Robots Navigation;Local Adaptive Image Processing;Learning Techniques for Intelligent Access Control;Resolution Improvement in Acoustic Maps.Each chapter is self-contained with its own references. Some of the chapters are devoted to the theoretical aspects while the others are presenting the practical aspects and the analysis of the modeling of the developed algorithms in different application areas.

This book presents a collection of contributions from related logics to applied paraconsistency. The book includes important contributions on foundations and applications of paraconsistent logics in connection with engineering, mathematical logic, philosophical logic, computer science, physics, economics, and biology.

This bookgives a start-to-finish overview of the whole Fish4Knowledge project, in 18short chapters, each describing one aspect of the project.

This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems.