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Recent Advances on Memetic Algorithms and its Applications in Image Processing

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Cover of 'Recent Advances on Memetic Algorithms and its Applications in Image Processing'

Table of Contents

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    Book Overview
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    Chapter 1 An Evolutionary Computing Approach to Solve Object Identification Problem for Fall Detection in Computer Vision-Based Video Surveillance Applications
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    Chapter 2 Texture-Dependent Optimal Fractional-Order Framework for Image Quality Enhancement Through Memetic Inclusions in Cuckoo Search and Sine-Cosine Algorithms
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    Chapter 3 Artificial Bee Colony: Theory, Literature Review, and Application in Image Segmentation
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    Chapter 4 Applications of Memetic Algorithms in Image Processing Using Deep Learning
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    Chapter 5 Recent Applications of Swarm-Based Algorithms to Color Quantization
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    Chapter 6 Hybrid Biogeography-Based Optimization Techniques for Geo-Spatial Feature Extraction: A Brief Survey
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    Chapter 7 An Efficient Copy-Move Forgery Detection Technique Using Nature-Inspired Optimization Algorithm
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    Chapter 8 Design and Implementation of Hybrid Plate Tectonics Neighborhood-Based ADAM’s Optimization and Its Application on Crop Recommendation
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    Chapter 9 An Evolutionary Memetic Weighted Associative Classification Algorithm for Heart Disease Prediction
Attention for Chapter 7: An Efficient Copy-Move Forgery Detection Technique Using Nature-Inspired Optimization Algorithm
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Chapter title
An Efficient Copy-Move Forgery Detection Technique Using Nature-Inspired Optimization Algorithm
Chapter number 7
Book title
Recent Advances on Memetic Algorithms and its Applications in Image Processing
Published by
Springer, Singapore, December 2019
DOI 10.1007/978-981-15-1362-6_7
Book ISBNs
978-9-81-151361-9, 978-9-81-151362-6
Authors

Anmol Gupta, Ishan Chawla, Gupta, Anmol, Chawla, Ishan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Computer Science 1 20%
Unknown 4 80%

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