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Bio Inspired Computation And Applications In Image Processing

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Bio Inspired Computation and Applications in Image Processing

Bio Inspired Computation and Applications in Image Processing Book
Author : Xin-She Yang,João Paulo Papa
Publisher : Academic Press
Release : 2016-08-09
ISBN : 012804537X
Language : En, Es, Fr & De

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Book Description :

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 Computing and Applications

Bio Inspired Computing and Applications Book
Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
Publisher : Springer Science & Business Media
Release : 2012-01-03
ISBN : 3642245528
Language : En, Es, Fr & De

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Book Description :

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as artificial intelligence, pattern recognition, evolutionary computing, informatics theories and applications, computational neuroscience and bioscience, soft computing, human computer interface issues, etc.

Bio Inspired Computing for Image and Video Processing

Bio Inspired Computing for Image and Video Processing Book
Author : D. P. Acharjya,V. Santhi
Publisher : CRC Press
Release : 2018-01-02
ISBN : 1351649833
Language : En, Es, Fr & De

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Book Description :

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.

Innovations in Bio Inspired Computing and Applications

Innovations in Bio Inspired Computing and Applications Book
Author : Ajith Abraham
Publisher : Springer Nature
Release : 2021-06-21
ISBN : 3030493393
Language : En, Es, Fr & De

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Book Description :

Download Innovations in Bio Inspired Computing and Applications book written by Ajith Abraham, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Biologically Rationalized Computing Techniques For Image Processing Applications

Biologically Rationalized Computing Techniques For Image Processing Applications Book
Author : Jude Hemanth,Valentina Emilia Balas
Publisher : Springer
Release : 2017-08-18
ISBN : 9783319613154
Language : En, Es, Fr & De

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Book Description :

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.

Bio Inspired Computation in Telecommunications

Bio Inspired Computation in Telecommunications Book
Author : Xin-She Yang,Su Fong Chien,Tiew On Ting
Publisher : Morgan Kaufmann Pub
Release : 2015-02-06
ISBN : 9780128015384
Language : En, Es, Fr & De

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Book Description :

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.

Handbook of Research on Recent Developments in Image Processing and Applications

Handbook of Research on Recent Developments in Image Processing and Applications Book
Author : Suresh Kumar Nagarajan,R. Mohanasundaram
Publisher : Information Science Reference
Release : 2019-11-22
ISBN : 9781799802228
Language : En, Es, Fr & De

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Book Description :

"This book examines the latest developments in bio-inspired computation in image processing with a focus on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms"--

Recent Developments in Image Processing and Applications

Recent Developments in Image Processing and Applications Book
Author : Suresh Kumar Nagarajan,R. Mohanasundaram
Publisher : Unknown
Release : 2020
ISBN : 9781799802235
Language : En, Es, Fr & De

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Book Description :

"This book examines the latest developments in bio-inspired computation in image processing with a focus on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms"--

Biologically Rationalized Computing Techniques For Image Processing Applications

Biologically Rationalized Computing Techniques For Image Processing Applications Book
Author : Jude Hemanth,Valentina Emilia Balas
Publisher : Springer
Release : 2017-08-15
ISBN : 3319613162
Language : En, Es, Fr & De

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Book Description :

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

Computational Vision and Bio Inspired Computing Book
Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
Publisher : Springer Nature
Release : 2020-01-06
ISBN : 3030372189
Language : En, Es, Fr & De

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Book Description :

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. 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. As such it 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.

Biogeography Based Optimization Algorithms and Applications

Biogeography Based Optimization  Algorithms and Applications Book
Author : Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen
Publisher : Springer
Release : 2018-09-14
ISBN : 9811325863
Language : En, Es, Fr & De

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Book Description :

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

Computational Vision and Bio Inspired Computing

Computational Vision and Bio Inspired Computing Book
Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
Publisher : Springer
Release : 2020-03-01
ISBN : 9783030372170
Language : En, Es, Fr & De

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Book Description :

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. 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. As such it 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.

Bio Inspired Computational Intelligence and Applications

Bio Inspired Computational Intelligence and Applications Book
Author : Dr. Kang Li,Minrui Fei,George W. Irwin,Shiwei Ma
Publisher : Springer Science & Business Media
Release : 2007-08-28
ISBN : 9783540747680
Language : En, Es, Fr & De

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Book Description :

The two volumes LNCS 4688 and LNBI 4689 constitute the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, in September 2007. The 147 revised full papers were carefully reviewed and selected from 1383 submissions. The 84 papers of LNCS 4688 are organized in topical sections on advanced neural network theory, algorithms and application, advanced evolutionary computing theory, algorithms and application, ant colonies and particle swarm optimization and application, fuzzy, neural, fuzzy-neuro hybrids and application, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.

Applications of Evolutionary Computation

Applications of Evolutionary Computation Book
Author : Giovanni Squillero,Kevin Sim
Publisher : Springer
Release : 2017-04-03
ISBN : 3319558498
Language : En, Es, Fr & De

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Book Description :

The two volumes LNCS 10199 and 10200 constitute the refereed conference proceedings of the 20th European Conference on the Applications of Evolutionary Computation, EvoApplications 2017, held in Amsterdam, The Netherlands, in April 2017, collocated with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented together with 26 poster papers were carefully reviewed and selected from 108 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoKNOW (knowledge incorporation in evolutionary computation), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoROBOT (evolutionary robotics), EvoSET (nature-inspired algorithms in software engineering and testing), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation Book
Author : Shichang Sun,Hongbo Liu
Publisher : Elsevier Inc. Chapters
Release : 2013-05-16
ISBN : 0128068922
Language : En, Es, Fr & De

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Book Description :

In this chapter, we present the convergence analysis and applications of particle swarm optimization algorithm. Although it is difficult to analyze the convergence of this algorithm, we discuss its convergence based on its iterated function system and probabilistic theory. The dynamic trajectory of the particle is described based on single individual. We also attempt to theoretically prove that the swarm algorithm converges with a probability of 1 toward the global optimal. We apply the algorithms to solve the scheduling problem and peer-to-peer neighbor selection problem. This chapter is also concerned to employ the nature-inspired optimization methods in machine learning. We introduce the swarm algorithm to reoptimize hidden Markov models.

Biogeography Based Optimization Algorithms and Applications

Biogeography Based Optimization  Algorithms and Applications Book
Author : Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen
Publisher : Springer
Release : 2018-12-16
ISBN : 9789811347948
Language : En, Es, Fr & De

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Book Description :

This book introduces readers to the background, general framework, main operators, and other basic characteristics of biogeography-based optimization (BBO), which is an emerging branch of bio-inspired computation. In particular, the book presents the authors’ recent work on improved variants of BBO, hybridization of BBO with other algorithms, and the application of BBO to a variety of domains including transportation, image processing, and neural network learning. The content will help to advance research into and application of not only BBO but also the whole field of bio-inspired computation. The algorithms and applications are organized in a step-by-step manner and clearly described with the help of pseudo-codes and flowcharts. The readers will learn not only the basic concepts of BBO but also how to apply and adapt the algorithms to the engineering optimization problems they actually encounter.

New Trends in Computational Vision and Bio inspired Computing

New Trends in Computational Vision and Bio inspired Computing Book
Author : S. Smys,Abdullah M. Iliyasu,Robert Bestak,Fuqian Shi
Publisher : Springer Nature
Release : 2020-09-27
ISBN : 3030418626
Language : En, Es, Fr & De

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Book Description :

This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Evolutionary and Bio inspired Computation

Evolutionary and Bio inspired Computation Book
Author : Misty Blowers,Alex F. Sisti
Publisher : Society of Photo Optical
Release : 2007
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.

Applications of Evolutionary Computation

Applications of Evolutionary Computation Book
Author : Giovanni Squillero,Paolo Burelli
Publisher : Springer
Release : 2016-04-17
ISBN : 9783319311524
Language : En, Es, Fr & De

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Book Description :

The two volumes LNCS 9597 and 9598 constitute the refereed conference proceedings of the 19th European Conference on the Applications of Evolutionary Computation, EvoApplications 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo* 2016 events EuroGP, EvoCOP, and EvoMUSART. The 57 revised full papers presented together with 17 poster papers were carefully reviewed and selected from 115 submissions. EvoApplications 2016 consisted of the following 13 tracks: EvoBAFIN (natural computing methods in business analytics and finance), EvoBIO (evolutionary computation, machine learning and data mining in computational biology), EvoCOMNET (nature-inspired techniques for telecommunication networks and other parallel and distributed systems), EvoCOMPLEX (evolutionary algorithms and complex systems), EvoENERGY (evolutionary computation in energy applications), EvoGAMES (bio-inspired algorithms in games), EvoIASP (evolutionary computation in image analysis, signal processing, and pattern recognition), EvoINDUSTRY (nature-inspired techniques in industrial settings), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defence applications), EvoROBOT (evolutionary robotics), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

Brain and Nature Inspired Learning Computation and Recognition

Brain and Nature Inspired Learning Computation and Recognition Book
Author : Licheng Jiao,Ronghua Shang,Weitong Zhang,Fang Liu
Publisher : Elsevier
Release : 2020-01-31
ISBN : 9780128197950
Language : En, Es, Fr & De

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Book Description :

Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception