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Handbook of Nature-Inspired and Innovative Computing

Author: Albert Y. Zomaya

Publisher: Springer Science & Business Media

Published: 2006-01-10

Total Pages: 758

ISBN-13: 9780387405322

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As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Book Synopsis Handbook of Nature-Inspired and Innovative Computing by : Albert Y. Zomaya

Download or read book Handbook of Nature-Inspired and Innovative Computing written by Albert Y. Zomaya and published by Springer Science & Business Media. This book was released on 2006-01-10 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

Nature-Inspired Computing for Smart Application Design

Author: Santosh Kumar Das

Publisher: Springer Nature

Published: 2021-03-17

Total Pages: 287

ISBN-13: 9813361956

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This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Book Synopsis Nature-Inspired Computing for Smart Application Design by : Santosh Kumar Das

Download or read book Nature-Inspired Computing for Smart Application Design written by Santosh Kumar Das and published by Springer Nature. This book was released on 2021-03-17 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses primarily on the nature-inspired approach for designing smart applications. It includes several implementation paradigms such as design and path planning of wireless network, security mechanism and implementation for dynamic as well as static nodes, learning method of cloud computing, data exploration and management, data analysis and optimization, decision taking in conflicting environment, etc. The book fundamentally highlights the recent research advancements in the field of engineering and science.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Author: Kose, Utku

Publisher: IGI Global

Published: 2018-03-31

Total Pages: 381

ISBN-13: 1522547703

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Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Book Synopsis Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by : Kose, Utku

Download or read book Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems written by Kose, Utku and published by IGI Global. This book was released on 2018-03-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Nature Inspired Computing for Data Science

Author: Minakhi Rout

Publisher: Springer Nature

Published: 2019-11-26

Total Pages: 303

ISBN-13: 3030338207

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This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Book Synopsis Nature Inspired Computing for Data Science by : Minakhi Rout

Download or read book Nature Inspired Computing for Data Science written by Minakhi Rout and published by Springer Nature. This book was released on 2019-11-26 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.

Smart Structures

Author: Vinod K. Wadhawan

Publisher: OUP Oxford

Published: 2007-10-18

Total Pages: 368

ISBN-13: 0191527998

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A structure is an assembly that serves an engineering function. A smart structure is one that serves this function smartly, i.e. by responding adaptively in a pre-designed useful and efficient manner to changing environmental conditions. Adaptive behaviour of one or more materials constituting a smart structure requires nonlinear response. This book describes the three main types of nonlinear-response materials: ferroic materials, soft materials, and nanostructured materials. Information processing by biological and artificial smart structures is also discussed. A smart structure typically has sensors, actuators, and a control system. Progress in all these aspects of smart structures has leant heavily on mimicking Nature, and the all-important notion in this context has been that of evolution. Artificial Darwinian and Lamarckian evolution holds the key to the development of truly smart structures. Modestly intelligent robots are already on the horizon. Projections about the low-cost availability of adequate computing power and memory size indicate that the future really belongs to smart structures. This book covers in a compact format the entire gamut of concepts relevant to smart structures. It should be of interest to a wide range of students and professionals in science and engineering.

Book Synopsis Smart Structures by : Vinod K. Wadhawan

Download or read book Smart Structures written by Vinod K. Wadhawan and published by OUP Oxford. This book was released on 2007-10-18 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A structure is an assembly that serves an engineering function. A smart structure is one that serves this function smartly, i.e. by responding adaptively in a pre-designed useful and efficient manner to changing environmental conditions. Adaptive behaviour of one or more materials constituting a smart structure requires nonlinear response. This book describes the three main types of nonlinear-response materials: ferroic materials, soft materials, and nanostructured materials. Information processing by biological and artificial smart structures is also discussed. A smart structure typically has sensors, actuators, and a control system. Progress in all these aspects of smart structures has leant heavily on mimicking Nature, and the all-important notion in this context has been that of evolution. Artificial Darwinian and Lamarckian evolution holds the key to the development of truly smart structures. Modestly intelligent robots are already on the horizon. Projections about the low-cost availability of adequate computing power and memory size indicate that the future really belongs to smart structures. This book covers in a compact format the entire gamut of concepts relevant to smart structures. It should be of interest to a wide range of students and professionals in science and engineering.

Nature-Inspired Optimizers

Author: Seyedali Mirjalili

Publisher: Springer

Published: 2019-02-01

Total Pages: 245

ISBN-13: 3030121275

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This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Book Synopsis Nature-Inspired Optimizers by : Seyedali Mirjalili

Download or read book Nature-Inspired Optimizers written by Seyedali Mirjalili and published by Springer. This book was released on 2019-02-01 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Handbook of Research on Natural Computing for Optimization Problems

Author: Mandal, Jyotsna Kumar

Publisher: IGI Global

Published: 2016-05-25

Total Pages: 1015

ISBN-13: 1522500596

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Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

Book Synopsis Handbook of Research on Natural Computing for Optimization Problems by : Mandal, Jyotsna Kumar

Download or read book Handbook of Research on Natural Computing for Optimization Problems written by Mandal, Jyotsna Kumar and published by IGI Global. This book was released on 2016-05-25 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Author: Shandilya, Shishir K.

Publisher: IGI Global

Published: 2017-03-10

Total Pages: 627

ISBN-13: 1522521291

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Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Book Synopsis Handbook of Research on Soft Computing and Nature-Inspired Algorithms by : Shandilya, Shishir K.

Download or read book Handbook of Research on Soft Computing and Nature-Inspired Algorithms written by Shandilya, Shishir K. and published by IGI Global. This book was released on 2017-03-10 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving, this publication is ideally designed for students, researchers, scholars, professionals, and practitioners seeking current research on the advanced workings of intelligence in computing systems.

Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering

Author: Chiong, Raymond

Publisher: IGI Global

Published: 2009-07-31

Total Pages: 450

ISBN-13: 1605667064

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Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.

Book Synopsis Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering by : Chiong, Raymond

Download or read book Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering written by Chiong, Raymond and published by IGI Global. This book was released on 2009-07-31 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge.

Handbook of Research on Nature-Inspired Computing for Economics and Management

Author: Rennard, Jean-Philippe

Publisher: IGI Global

Published: 2006-09-30

Total Pages: 1066

ISBN-13: 1591409853

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"This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.

Book Synopsis Handbook of Research on Nature-Inspired Computing for Economics and Management by : Rennard, Jean-Philippe

Download or read book Handbook of Research on Nature-Inspired Computing for Economics and Management written by Rennard, Jean-Philippe and published by IGI Global. This book was released on 2006-09-30 with total page 1066 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides applications of nature inspired computing for economic theory and practice, finance and stock-market, manufacturing systems, marketing, e-commerce, e-auctions, multi-agent systems and bottom-up simulations for social sciences and operations management"--Provided by publisher.