Bücher der Reihe Studies in Computational Intelligence

This book introduces the concept of holistic design and development of cyber physical systems to achieve their safe and secure operation. It shows that by following the standards for embedded system's safety and using appropriate hardware and software components inherently safe system's architectures can be devised and certified.

This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.

This book covers theoretical aspects as well as recent innovativeapplications of Artificial Neural networks (ANNs) in natural, environmental,biological, social, industrial and automated systems.It presents recent results of ANNs in modelling small, largeand complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological andEnvironmental Systems and 3) Advancesin Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchersin ANN computational modelling.

This bookpresents some of the emerging techniques and technologies used to handle Webdata management. The Volume will be a valuable reference toresearchers, students and practitioners in the field of Web data management,cloud computing, social networks using advanced intelligence tools.

This bookcovers recent advances in Complex Automated Negotiations as a widely studiedemerging area in the field of Autonomous Agents and Multi-Agent Systems.

The lastdecades have seen the emergence of Complex Networks as the language with whicha wide range of complex phenomena in fields as diverse as Physics, ComputerScience, and Medicine (to name just a few) can be properly described andunderstood. This book provides a view of the state of the art in this dynamicfield and covers topics ranging from network controllability, social structure,online behavior, recommendation systems, and network structure. This book includes the peer-reviewed list ofworks presented at the 7th Workshop on Complex Networks CompleNet2016 which was hosted by the Université de Bourgogne, France, from March23-25, 2016. The 28 carefully reviewed and selectedcontributions in this book address many topics related to complex networks andhave been organized in seven major groups: (1) Theory of Complex Networks, (2)Multilayer networks, (3) Controllability of networks, (4) Algorithms fornetworks, (5) Community detection, (6) Dynamics and spreading phenomena onnetworks, (7) Applications of Networks.

This book reports on the latest advances andapplications of chaotic systems. Itconsists of 25 contributed chapters by experts who are specialized in thevarious topics addressed in this book. The chapters cover a broad range oftopics of chaotic systems such as chaos, hyperchaos, jerk systems, hyperjerksystems, conservative and dissipative systems, circulant chaotic systems,multi-scroll chaotic systems, finance chaotic system, highly chaotic systems,chaos control, chaos synchronization, circuit realization and applications ofchaos theory in secure communications, mobile robot, memristors, cellularneural networks, etc. Special importance was given to chapters offeringpractical solutions, modeling and novel control methods for the recent researchproblems in chaos theory.This book will serve as a reference book for graduatestudents and researchers with a basic knowledge of chaos theory and controlsystems. The resulting design procedures on the chaotic systems are emphasizedusing MATLAB software.

This editedvolume provides the reader with a fully updated, in-depth treatise on the emergingprinciples, conceptual underpinnings, algorithms and practice of ComputationalIntelligence in the realization of concepts and implementation of models ofsentiment analysis and ontology ¿oriented engineering.The volume involves studies devotedto key issues of sentiment analysis, sentiment models, and ontologyengineering. The book is structured into three main parts. The first partoffers a comprehensive and prudently structured exposure to the fundamentals ofsentiment analysis and natural language processing. The second part consists ofstudies devoted to the concepts, methodologies, and algorithmic developmentselaborating on fuzzy linguistic aggregation to emotion analysis, carrying outinterpretability of computational sentiment models, emotion classification,sentiment-oriented information retrieval, a methodology of adaptive dynamics inknowledge acquisition. The third part includes a plethora of applicationsshowing how sentiment analysis and ontologies becomes successfully applied toinvestment strategies, customer experience management, disaster relief,monitoring in social media, customer review rating prediction, and ontologylearning.This book isaimed at a broad audience of researchers and practitioners. Readers involved inintelligent systems, data analysis, Internet engineering, ComputationalIntelligence, and knowledge-based systems will benefit from the exposure to thesubject matter. The book may also serveas a highly useful reference material for graduate students and seniorundergraduate students.

The objective of this book is to contribute to the development of theintelligent information and database systems with the essentials of currentknowledge, experience and know-how. The book contains a selection of 40 chapters based on originalresearch presented as posters during the 8th Asian Conference onIntelligent Information and Database Systems (ACIIDS 2016) held on 14¿16 March2016 in Da Nang, Vietnam. The papers to some extent reflect the achievements ofscientific teams from 17 countries in five continents.The volume is divided into six parts: (a) ComputationalIntelligence in Data Mining and Machine Learning, (b) Ontologies, SocialNetworks and Recommendation Systems, (c) Web Services, Cloud Computing,Security and Intelligent Internet Systems, (d) Knowledge Management andLanguage Processing, (e) Image, Video, Motion Analysis and Recognition, and (f)Advanced Computing Applications and Technologies.The book is an excellent resource for researchers, those working inartificial intelligence, multimedia, networks and big data technologies, aswell as for students interested in computer science and other related fields.

This volume is a selected collection of papers presented and discussedat the International Conference "Advanced Computing for Innovation (AComIn 2015)".

This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems.

This edited book presents scientific results of the 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016) which was held on June 26- 29 in Okayama, Japan.

This volume presents recent research, challenging problems and solutionsin Intelligent Systems¿ covering the following disciplines: artificial andcomputational intelligence, fuzzy logic and other non-classic logics,intelligent database systems, information retrieval, information fusion,intelligent search (engines), data mining, cluster analysis, unsupervisedlearning, machine learning, intelligent data analysis, (group) decision supportsystems, intelligent agents and multi-agent systems, knowledge-based systems,imprecision and uncertainty handling, electronic commerce, distributed systems,etc. The book defines a common ground for sometimes seemingly disparateproblems and addresses them by using the paradigm of broadly perceived intelligentsystems. It presents a broad panorama of a multitude of theoretical andpractical problems which have been successfully dealt with using the paradigmof intelligent computing.

The book reports on the latest advances and applications of nonlinearcontrol systems. It consists of 30contributed chapters by subject experts who are specialized in the varioustopics addressed in this book. The special chapters have been brought out inthe broad areas of nonlinear control systems such as robotics, nonlinear circuits, powersystems, memristors, underwater vehicles, chemical processes, observer design,output regulation, backstepping control, sliding mode control, time-delayedcontrol, variables structure control, robust adaptive control, fuzzy logiccontrol, chaos, hyperchaos, jerk systems, hyperjerk systems, chaos control,chaos synchronization, etc. Special importance was given to chapters offeringpractical solutions, modeling and novel control methods for the recent researchproblems in nonlinear control systems.This book will serve as a reference book for graduate studentsand researchers with a basic knowledge of electrical and control systemsengineering. The resulting design procedures on the nonlinear control systemsare emphasized using MATLAB software.

This book demonstratesthe success of Ambient Intelligence in providing possible solutions for the dailyneeds of humans.

Algorithms and topics include the overviewand history of nature-inspired algorithms, discrete firefly algorithm, discretecuckoo search, plant propagation algorithm, parameter-free bat algorithm,gravitational search, biogeography-based algorithm, differential evolution,particle swarm optimization and others.

Beside the introduced new approaches and algorithms, readers may finda sophisticated literature review in Information Visualization and VisualAnalytics, Semantics and information extraction, and intelligent and adaptivesystems.

This editedbook presents scientific results of the 17th IEEE/ACIS InternationalConference on Software Engineering, Artificial Intelligence, Networking andParallel/Distributed Computing (SNPD 2016) which was held on May 30 - June 1,2016 in Shanghai, China.

Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.The conference organizers selected the best papers from those papers accepted for presentation at the conference.

Collecting research presented at NICSO 2013, this book reports on nature-inspired methods and applications including Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Ant Clustering and many others.

This book is a collection of extended chaptersfrom the selected papers that were published in the proceedings of Science andInformation (SAI) Conference 2015. It contains twenty-one chapters in the fieldof Computational Intelligence, which received highly recommended feedbackduring SAI Conference 2015 review process.

This book is a remarkable collection of chapters covering a wider range of topics, including unsupervised text mining, anomaly and Intrusion Detection, Self-reconfiguring Robotics, application of Fuzzy Logic to development aid, Design and Optimization, Context-Aware Reasoning, DNA Sequence Assembly and Multilayer Perceptron Networks.

In this short monograph Newton-likeand other similar numerical methods with applications to solving multivariateequations are developed, which involve Caputotype fractional mixed partial derivatives and multivariate fractional Riemann-Liouvilleintegral operators.

The book also presents the problem of corporations bankruptcy risk forecasting under incomplete and fuzzy information, as well as new methods based on fuzzy sets theory and fuzzy neural networks and results of their application for bankruptcy risk forecasting are presented and compared with Altman method.

Further, it explores emotion detection in MIDI and audio files. In the experiments presented here, the categorical and dimensional approaches were used, and the knowledge and expertise of music experts with a university music education were used for music file annotation.

This volume comprises of 21 selected chapters, including two overview chapters devoted to abdominal imaging in clinical applications supported computer aided diagnosis approaches as well as different techniques for solving the pectoral muscle extraction problem in the preprocessing part of the CAD systems for detecting breast cancer in its early stage using digital mammograms. The aim of this book is to stimulate further research in medical imaging applications based algorithmic and computer based approaches and utilize them in real-world clinical applications. The book is divided into four parts, Part-I: Clinical Applications of Medical Imaging, Part-II: Classification and clustering, Part-III: Computer Aided Diagnosis (CAD) Tools and Case Studies and Part-IV: Bio-inspiring based Computer Aided diagnosis techniques.

On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.

16) evaluate the structure of interactions between the students in social networks.This volume will be a source of interest to researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and find targets for future work in the field of educational data mining.

What all of these contributions have in common is placing the user at the center of the information system, be it for helping him/her to query a data set, to handle imperfect information, or to discover useful knowledge from a massive collection of data.