Bio Inspired Computation And Applications In Image Processing

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Bio-Inspired Computation and Applications in Image Processing

Author : Xin-She Yang
Publisher : Academic Press
ISBN 13 : 012804537X
Total Pages : 376 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Bio-Inspired Computation and Applications in Image Processing by : Xin-She Yang

Download or read book Bio-Inspired Computation and Applications in Image Processing written by Xin-She Yang and published by Academic Press. This book was released on 2016-08-09 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications

Bio-Inspired Computation in Telecommunications

Author : Xin-She Yang
Publisher : Morgan Kaufmann
ISBN 13 : 0128017430
Total Pages : 349 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Bio-Inspired Computation in Telecommunications by : Xin-She Yang

Download or read book Bio-Inspired Computation in Telecommunications written by Xin-She Yang and published by Morgan Kaufmann. This book was released on 2015-02-11 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Bio-Inspired Computing for Image and Video Processing

Author : D. P. Acharjya
Publisher : CRC Press
ISBN 13 : 1498765939
Total Pages : 437 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Bio-Inspired Computing for Image and Video Processing by : D. P. Acharjya

Download or read book Bio-Inspired Computing for Image and Video Processing written by D. P. Acharjya and published by CRC Press. This book was released on 2018-01-02 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules. Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

Bio-Inspired Computing for Information Retrieval Applications

Author : Acharjya, D.P.
Publisher : IGI Global
ISBN 13 : 1522523766
Total Pages : 411 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Bio-Inspired Computing for Information Retrieval Applications by : Acharjya, D.P.

Download or read book Bio-Inspired Computing for Information Retrieval Applications written by Acharjya, D.P. and published by IGI Global. This book was released on 2017-02-14 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Biologically Rationalized Computing Techniques For Image Processing Applications

Author : Jude Hemanth
Publisher : Springer
ISBN 13 : 3319613162
Total Pages : 341 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Biologically Rationalized Computing Techniques For Image Processing Applications by : Jude Hemanth

Download or read book Biologically Rationalized Computing Techniques For Image Processing Applications written by Jude Hemanth and published by Springer. This book was released on 2017-08-15 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Computational Vision and Bio-Inspired Computing

Author : S. Smys
Publisher : Springer Nature
ISBN 13 : 9811695733
Total Pages : 877 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2022-03-30 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Nature-Inspired Computation in Data Mining and Machine Learning

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 3030285537
Total Pages : 273 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Nature-Inspired Computation in Data Mining and Machine Learning by : Xin-She Yang

Download or read book Nature-Inspired Computation in Data Mining and Machine Learning written by Xin-She Yang and published by Springer Nature. This book was released on 2019-09-03 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning machines, object categorization, particle swarm optimization, flower pollination and firefly algorithms, and neural networks, it also presents case studies and applications, including classifications of crisis-related tweets, extraction of named entities in the Tamil language, performance-based prediction of diseases, and healthcare services. This book is both a valuable a reference resource and a practical guide for students, researchers and professionals in computer science, data and management sciences, artificial intelligence and machine learning.

Nature-Inspired Computing and Optimization

Author : Srikanta Patnaik
Publisher : Springer
ISBN 13 : 3319509209
Total Pages : 506 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Nature-Inspired Computing and Optimization by : Srikanta Patnaik

Download or read book Nature-Inspired Computing and Optimization written by Srikanta Patnaik and published by Springer. This book was released on 2017-03-07 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.

Nature Inspired Optimization Techniques for Image Processing Applications

Author : Jude Hemanth
Publisher : Springer
ISBN 13 : 3319960024
Total Pages : 305 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Nature Inspired Optimization Techniques for Image Processing Applications by : Jude Hemanth

Download or read book Nature Inspired Optimization Techniques for Image Processing Applications written by Jude Hemanth and published by Springer. This book was released on 2018-09-19 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Elsevier
ISBN 13 : 0124167454
Total Pages : 277 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Xin-She Yang

Download or read book Nature-Inspired Optimization Algorithms written by Xin-She Yang and published by Elsevier. This book was released on 2014-02-17 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Handbook of Bioinspired Algorithms and Applications

Author : Stephan Olariu
Publisher : CRC Press
ISBN 13 : 1420035061
Total Pages : 684 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Bioinspired Algorithms and Applications by : Stephan Olariu

Download or read book Handbook of Bioinspired Algorithms and Applications written by Stephan Olariu and published by CRC Press. This book was released on 2005-09-29 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522507892
Total Pages : 1810 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-07-26 with total page 1810 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Bio-Inspired Computing: Theories and Applications

Author : Linqiang Pan
Publisher : Springer Nature
ISBN 13 : 9811613540
Total Pages : 653 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Bio-Inspired Computing: Theories and Applications by : Linqiang Pan

Download or read book Bio-Inspired Computing: Theories and Applications written by Linqiang Pan and published by Springer Nature. This book was released on 2021-03-31 with total page 653 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the revised selected papers of the 15th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2020, held in Qingdao, China, in October 2020. The 43 full papers presented in both volumes were selected from 109 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine learning; DNA computing and membrane computing.

Computational Vision and Bio Inspired Computing

Author : D. Jude Hemanth
Publisher : Springer
ISBN 13 : 3319717677
Total Pages : 1156 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Computational Vision and Bio Inspired Computing by : D. Jude Hemanth

Download or read book Computational Vision and Bio Inspired Computing written by D. Jude Hemanth and published by Springer. This book was released on 2018-02-19 with total page 1156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.

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

Author : Patricia Melin
Publisher : Springer Science & Business Media
ISBN 13 : 3642045154
Total Pages : 258 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by : Patricia Melin

Download or read book Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Bioinspired Computation in Combinatorial Optimization

Author : Frank Neumann
Publisher : Springer Science & Business Media
ISBN 13 : 3642165443
Total Pages : 215 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Bioinspired Computation in Combinatorial Optimization by : Frank Neumann

Download or read book Bioinspired Computation in Combinatorial Optimization written by Frank Neumann and published by Springer Science & Business Media. This book was released on 2010-11-04 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Author : Simon James Fong
Publisher : Springer Nature
ISBN 13 : 981156695X
Total Pages : 228 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing by : Simon James Fong

Download or read book Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing written by Simon James Fong and published by Springer Nature. This book was released on 2020-08-25 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.