Soft Computing as Transdisciplinary Science and Technology

Soft Computing as Transdisciplinary Science and Technology

Author: Ajith Abraham

Publisher: Springer Science & Business Media

Published: 2007-12-14

Total Pages: 1357

ISBN-13: 3540323910

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This book presents the proceedings of the Fourth International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST '05), May 25-27, 2005, Muroran, Japan. It brings together the original work of international soft computing/computational intelligence researchers, developers, practitioners, and users. This proceedings provide contributions to all areas of soft computing including intelligent hybrid systems, agent-based systems, intelligent data mining, decision support systems, cognitive and reactive distributed artificial intelligence (AI), internet modelling, human interface, and applications in science and technology.


Proceedings of the International Conference on Soft Computing Systems

Proceedings of the International Conference on Soft Computing Systems

Author: L. Padma Suresh

Publisher: Springer

Published: 2015-12-28

Total Pages: 973

ISBN-13: 8132226712

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The book is a collection of high-quality peer-reviewed research papers presented in International Conference on Soft Computing Systems (ICSCS 2015) held at Noorul Islam Centre for Higher Education, Chennai, India. These research papers provide the latest developments in the emerging areas of Soft Computing in Engineering and Technology. The book is organized in two volumes and discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.


Applications of Soft Computing

Applications of Soft Computing

Author: Ashutosh Tiwari

Publisher: Springer Science & Business Media

Published: 2010-04-08

Total Pages: 421

ISBN-13: 3540362665

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This book provides a comprehensive overview of recent advances in the industrial applications of soft computing. It covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. The book is aimed at researchers and professional engineers engaged in developing and applying intelligent systems.


Advances in Intelligent Computing

Advances in Intelligent Computing

Author: De-Shuang Huang

Publisher: Springer Science & Business Media

Published: 2005-08-11

Total Pages: 1039

ISBN-13: 3540282270

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The two-volume set LNCS 3644 and LNCS 3645 constitutes the refereed proceedings of the International Conference on Intelligent Computing, ICIC 2005, held in Hefei, China, in August 2005. The program committee selected 215 carefully revised full papers for presentation in two volumes from over 2000 submissions, based on rigorous peer reviews. The first volume includes all the contributions related with perceptual and pattern recognition, informatics theories and applications computational neuroscience and bioscience, models and methods, and learning systems. The second volume collects the papers related with genomics and proteomics, adaptation and decision making, applications and hardware, and other applications.


Applications of Graph Transformations with Industrial Relevance

Applications of Graph Transformations with Industrial Relevance

Author: Andy Schürr

Publisher: Springer

Published: 2012-10-01

Total Pages: 265

ISBN-13: 3642341764

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This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Symposium on Applications of Graph Transformations, AGTIVE 2011, held in Budapest, Hungary, in October 2011. The 13 revised full papers presented together with 2 invited talks, 2 application reports and 3 tool demonstration papers were carefully selected from 36 submissions during two rounds of reviewing and improvement. The papers are organized in topical sections on invited talk abstracts, model-driven engineering, graph transformation applications, tool demonstrations, graph transformation exploration techniques, graph transformation semantics and reasoning, application reports and bidirectional transformations.


Human-Computer Interaction: Interaction Techniques and Environments

Human-Computer Interaction: Interaction Techniques and Environments

Author: Julie A. Jacko

Publisher: Springer Science & Business Media

Published: 2011-06-24

Total Pages: 644

ISBN-13: 3642216048

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This four-volume set LNCS 6761-6764 constitutes the refereed proceedings of the 14th International Conference on Human-Computer Interaction, HCII 2011, held in Orlando, FL, USA in July 2011, jointly with 8 other thematically similar conferences. The revised papers presented were carefully reviewed and selected from numerous submissions. The papers accepted for presentation thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers of this volume are organized in topical sections on touch-based and haptic interaction, gaze and gesture-based interaction, voice, natural language and dialogue, novel interaction techniques and devices, and avatars and embodied interaction.


Evolutionary Computation in Combinatorial Optimization

Evolutionary Computation in Combinatorial Optimization

Author: Jin-Kao Hao

Publisher: Springer

Published: 2012-03-23

Total Pages: 280

ISBN-13: 3642291244

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This book constitutes the refereed proceedings of the 12th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. . The 22 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.


Analysis of Machine Learning Techniques for Intrusion Detection System: A Review

Analysis of Machine Learning Techniques for Intrusion Detection System: A Review

Author: Asghar Ali Shah

Publisher: Infinite Study

Published:

Total Pages: 11

ISBN-13:

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Security is a key issue to both computer and computer networks. Intrusion detection System (IDS) is one of the major research problems in network security. IDSs are developed to detect both known and unknown attacks. There are many techniques used in IDS for protecting computers and networks from network based and host based attacks. Various Machine learning techniques are used in IDS. This study analyzes machine learning techniques in IDS. It also reviews many related studies done in the period from 2000 to 2012 and it focuses on machine learning techniques. Related studies include single, hybrid, ensemble classifiers, baseline and datasets used.


Bio-Inspired Computing for Information Retrieval Applications

Bio-Inspired Computing for Information Retrieval Applications

Author: Acharjya, D.P.

Publisher: IGI Global

Published: 2017-02-14

Total Pages: 411

ISBN-13: 1522523766

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The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.