Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Author: Siddhartha Bhattacharyya

Publisher: CRC Press

Published: 2017-10-30

Total Pages: 502

ISBN-13: 1351650203

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Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Hybrid Intelligent Techniques for Pattern Analysis and Understanding
Hybrid Intelligent Techniques for Pattern Analysis and Understanding

Author: Siddhartha Bhattacharyya

Publisher: Chapman & Hall/CRC

Published: 2017-10-30

Total Pages: 375

ISBN-13: 9781315154152

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Hybrid Intelligent Techniques for Pattern Analysis and Understandingoutlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Hybrid Computational Intelligence
Hybrid Computational Intelligence

Author: Siddhartha Bhattacharyya

Publisher: Academic Press

Published: 2020-03-05

Total Pages: 250

ISBN-13: 012818700X

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Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Hybrid Intelligence for Image Analysis and Understanding
Hybrid Intelligence for Image Analysis and Understanding

Author: Siddhartha Bhattacharyya

Publisher: John Wiley & Sons

Published: 2017-07-27

Total Pages: 467

ISBN-13: 1119242932

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A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.

Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications

Author: Bhattacharyya, Siddhartha

Publisher: IGI Global

Published: 2015-11-03

Total Pages: 678

ISBN-13: 1466694750

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Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Innovations in Hybrid Intelligent Systems
Innovations in Hybrid Intelligent Systems

Author: Emilio Corchado

Publisher: Springer Science & Business Media

Published: 2007-12-22

Total Pages: 514

ISBN-13: 3540749721

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This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Author: Patricia Melin

Publisher: Springer Science & Business Media

Published: 2009-09-30

Total Pages: 258

ISBN-13: 3642045154

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Hybrid Intelligent Systems
Hybrid Intelligent Systems

Author: Oscar Castillo

Publisher: Springer

Published: 2007-07-23

Total Pages: 431

ISBN-13: 3540374213

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This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Author: Patricia Melin

Publisher: Springer

Published: 2010-04-30

Total Pages: 263

ISBN-13: 9783642045264

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Hybrid Architectures for Intelligent Systems
Hybrid Architectures for Intelligent Systems

Author: Abraham Kandel

Publisher: CRC Press

Published: 2020-09-10

Total Pages: 448

ISBN-13: 1000102947

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Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted to the theory, methodologies, and algorithms of intelligent hybrid systems. The second part examines current applications of intelligent hybrid systems in areas such as data analysis, pattern classification and recognition, intelligent robot control, medical diagnosis, architecture, wastewater treatment, and flexible manufacturing systems. Hybrid Architectures for Intelligent Systems is an important reference for computer scientists and electrical engineers involved with artificial intelligence, neural networks, parallel processing, robotics, and systems architecture.