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Recent advances on memetic algorithm...

Hemanth, D. Jude.

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Recent advances on memetic algorithms and its applications in image processing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent advances on memetic algorithms and its applications in image processing/ edited by D. Jude Hemanth, B. Vinoth Kumar, G. R. Karpagam Manavalan.
其他作者:	Hemanth, D. Jude.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	xiv, 199 p. :ill. (some col.), digital ;24 cm.
內容註:	An Evolutionary Computing Approach to Solve Object identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for image Quality Enhancement through Memetic inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in image Segmentation -- Applications of Memetic Algorithms in image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-inspired Optimization Algorithm -- Design and implementation of Hybrid Plate Tectonics Neighborhood based ADAM's Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.
Contained By:	Springer eBooks
標題:	Image processing - Digital techniques. -
電子資源:	https://doi.org/10.1007/978-981-15-1362-6
ISBN:	9789811513626

Recent advances on memetic algorithms and its applications in image processing
Recent advances on memetic algorithms and its applications in image processing[electronic resource] /edited by D. Jude Hemanth, B. Vinoth Kumar, G. R. Karpagam Manavalan. - Singapore :Springer Singapore :2020. - xiv, 199 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8731860-949X ;. - Studies in computational intelligence ;v.873..

An Evolutionary Computing Approach to Solve Object identification Problem for fall detection in Computer Vision based Video Surveillance Applications -- Texture-dependent Optimal Fractional-order Framework for image Quality Enhancement through Memetic inclusions in Cuckoo Search and Sine-Cosine Algorithms -- Artificial Bee Colony: Theory, Literature Review, and Application in image Segmentation -- Applications of Memetic Algorithms in image Processing Using Deep Learning -- Recent Applications of Swarm-based Algorithms to Color Quantization -- Hybrid Biogeography Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey -- An Efficient Copy-move Forgery Detection Technique using Nature-inspired Optimization Algorithm -- Design and implementation of Hybrid Plate Tectonics Neighborhood based ADAM's Optimization and its application on Crop Recommendation -- An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction.

This book includes original research findings in the field of memetic algorithms for image processing applications. it gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.

ISBN: 9789811513626

Standard No.: 10.1007/978-981-15-1362-6doiSubjects--Topical Terms:

532550
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .R434 2020

Dewey Class. No.: 006.42

Recent advances on memetic algorithms and its applications in image processing
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520 $a This book includes original research findings in the field of memetic algorithms for image processing applications. it gathers contributions on theory, case studies, and design methods pertaining to memetic algorithms for image processing applications ranging from defence, medical image processing, and surveillance, to computer vision, robotics, etc. The content presented here provides new directions for future research from both theoretical and practical viewpoints, and will spur further advances in the field.
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