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: 393

ISBN-13: 1498769373

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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 Computational Intelligence
Hybrid Computational Intelligence

Author: Siddhartha Bhattacharyya

Publisher: Academic Press

Published: 2020-03-05

Total Pages: 251

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 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.

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.

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.

Metaheuristic Approaches to Portfolio Optimization
Metaheuristic Approaches to Portfolio Optimization

Author: Ray, Jhuma

Publisher: IGI Global

Published: 2019-06-22

Total Pages: 281

ISBN-13: 1522581049

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Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.

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.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Author: Kulkarni, Siddhivinayak

Publisher: IGI Global

Published: 2012-06-30

Total Pages: 464

ISBN-13: 1466618345

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Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data. Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Hybrid Intelligence for Social Networks
Hybrid Intelligence for Social Networks

Author: Hema Banati

Publisher: Springer

Published: 2017-11-28

Total Pages: 333

ISBN-13: 3319651390

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This book explains aspects of social networks, varying from development and application of new artificial intelligence and computational intelligence techniques for social networks to understanding the impact of social networks. Chapters 1 and 2 deal with the basic strategies towards social networks such as mining text from such networks and applying social network metrics using a hybrid approach; Chaps. 3 to 8 focus on the prime research areas in social networks: community detection, influence maximization and opinion mining. Chapter 9 to 13 concentrate on studying the impact and use of social networks in society, primarily in education, commerce, and crowd sourcing. The contributions provide a multidimensional approach, and the book will serve graduate students and researchers as a reference in computer science, electronics engineering, communications, and information technology.

Computational Intelligence Applications in Business Intelligence and Big Data Analytics
Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Author: Vijayan Sugumaran

Publisher: CRC Press

Published: 2017-06-26

Total Pages: 362

ISBN-13: 1351720252

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There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.