Bio Inspired Computation and Applications in Image Processing

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  • Author : Xin-She Yang
  • Publisher : Academic Press
  • Pages : 374 pages
  • ISBN : 012804537X
  • Rating : /5 from reviews
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Download or Read online Bio Inspired Computation and Applications in Image Processing full in PDF, ePub and kindle. this book written by Xin-She Yang and published by Academic Press which was released on 09 August 2016 with total page 374 pages. We cannot guarantee that Bio Inspired Computation and Applications in Image Processing book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 and Applications in Image Processing

Bio Inspired Computation and Applications in Image Processing
  • Author : Xin-She Yang,João Paulo Papa
  • Publisher : Academic Press
  • Release : 09 August 2016
GET THIS BOOK Bio Inspired Computation and Applications in Image Processing

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

Bio Inspired Computing and Applications

Bio Inspired Computing and Applications
  • Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
  • Publisher : Springer Science & Business Media
  • Release : 03 January 2012
GET THIS BOOK Bio Inspired Computing and Applications

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

Bio Inspired Computing for Image and Video Processing

Bio Inspired Computing for Image and Video Processing
  • Author : D. P. Acharjya,V. Santhi
  • Publisher : CRC Press
  • Release : 02 January 2018
GET THIS BOOK Bio Inspired Computing for Image and Video Processing

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

Biologically Rationalized Computing Techniques For Image Processing Applications

Biologically Rationalized Computing Techniques For Image Processing Applications
  • Author : Jude Hemanth,Valentina Emilia Balas
  • Publisher : Springer
  • Release : 18 August 2017
GET THIS BOOK Biologically Rationalized Computing Techniques For Image Processing Applications

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

Bio Inspired Computing and Applications

Bio Inspired Computing and Applications
  • Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
  • Publisher : Springer
  • Release : 05 January 2012
GET THIS BOOK Bio Inspired Computing and Applications

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

Bio inspired Computing Theories and Applications

Bio inspired Computing     Theories and Applications
  • Author : Maoguo Gong,Linqiang Pan,Tao Song,Gexiang Zhang
  • Publisher : Springer
  • Release : 07 January 2017
GET THIS BOOK Bio inspired Computing Theories and Applications

The two-volume set, CCIS 681 and CCIS 682, constitutes the proceedings of the 11th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2016, held in Xi'an, China, in October 2016.The 115 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers of Part I are organized in topical sections on DNA Computing; Membrane Computing; Neural Computing; Machine Learning. The papers of Part II are organized in topical sections on Evolutionary Computing; Multi-objective Optimization; Pattern Recognition; Others.

Computational Vision and Bio Inspired Computing

Computational Vision and Bio Inspired Computing
  • Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
  • Publisher : Springer Nature
  • Release : 06 January 2020
GET THIS BOOK Computational Vision and Bio Inspired Computing

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

Biogeography Based Optimization Algorithms and Applications

Biogeography Based Optimization  Algorithms and Applications
  • Author : Yujun Zheng,Xueqin Lu,Minxia Zhang,Shengyong Chen
  • Publisher : Springer
  • Release : 14 September 2018
GET THIS BOOK Biogeography Based Optimization Algorithms and Applications

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

Innovations in Bio Inspired Computing and Applications

Innovations in Bio Inspired Computing and Applications
  • Author : Václav Snášel,Ajit Abraham,Pavel Krömer,Millie Pant,Azah Kamilah Muda
  • Publisher : Springer
  • Release : 14 December 2015
GET THIS BOOK Innovations in Bio Inspired Computing and Applications

This Volume contains the papers presented during the 6th International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2015 which was held in Kochi, India during December 16-18, 2015. The 51 papers presented in this Volume were carefully reviewed and selected. The 6th International Conference IBICA 2015 has been organized to discuss the state-of-the-art as well as to address various issues in the growing research field of Bio-inspired Computing which is currently one of the most exciting research areas, and is continuously demonstrating

Bio Inspired Computational Intelligence and Applications

Bio Inspired Computational Intelligence and Applications
  • Author : Dr. Kang Li,Minrui Fei,George W. Irwin,Shiwei Ma
  • Publisher : Springer Science & Business Media
  • Release : 28 August 2007
GET THIS BOOK Bio Inspired Computational Intelligence and Applications

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

Bio inspired Computing Theories and Applications

Bio inspired Computing  Theories and Applications
  • Author : Linqiang Pan,Jing Liang,Boyang Qu
  • Publisher : Springer Nature
  • Release : 01 April 2020
GET THIS BOOK Bio inspired Computing Theories and Applications

​This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 121 full papers presented in both volumes were selected from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; ​bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.

Proceedings of the Fifth International Conference on Innovations in Bio Inspired Computing and Applications IBICA 2014

Proceedings of the Fifth International Conference on Innovations in Bio Inspired Computing and Applications IBICA 2014
  • Author : Pavel Kömer,Ajith Abraham,Václav Snášel
  • Publisher : Springer
  • Release : 13 June 2014
GET THIS BOOK Proceedings of the Fifth International Conference on Innovations in Bio Inspired Computing and Applications IBICA 2014

This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2014, the 5th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2014 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing remains to be one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex

Bio Inspired Computational Intelligence and Applications

Bio Inspired Computational Intelligence and Applications
  • Author : Minrui Fei,George W. Irwin,Shiwei Ma
  • Publisher : Springer
  • Release : 26 August 2007
GET THIS BOOK Bio Inspired Computational Intelligence and Applications

This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes advanced neural network theory, advanced evolutionary computing theory, ant colonies and particle swarm optimization, intelligent modeling, monitoring, and control of complex nonlinear systems, as well as biomedical signal processing, imaging and visualization.

Handbook of Research on Recent Developments in Image Processing and Applications

Handbook of Research on Recent Developments in Image Processing and Applications
  • Author : Suresh Kumar Nagarajan,R. Mohanasundaram
  • Publisher : Information Science Reference
  • Release : 22 November 2019
GET THIS BOOK Handbook of Research on Recent Developments in Image Processing and Applications

"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"--