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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 8: Design and Implementation of Hybrid Plate Tectonics Neighborhood-Based ADAM’s Optimization and Its Application on Crop Recommendation
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Citations

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Chapter title
Design and Implementation of Hybrid Plate Tectonics Neighborhood-Based ADAM’s Optimization and Its Application on Crop Recommendation
Chapter number 8
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_8
Book ISBNs
978-9-81-151361-9, 978-9-81-151362-6
Authors

Lavika Goel, Navjot Bansal, Nithin Benny, Goel, Lavika, Bansal, Navjot, Benny, Nithin

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 27%
Student > Bachelor 2 18%
Researcher 2 18%
Lecturer > Senior Lecturer 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 3 27%
Engineering 2 18%
Economics, Econometrics and Finance 1 9%
Unknown 5 45%

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