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Nature-Inspired Optimization Algorithms: Recent Advances in Natural Computing and Biomedical Applications

โœ Scribed by Aditya Khamparia (editor), Ashish Khanna (editor), Nhu Gia Nguyen (editor), Bao Le Nguyen (editor)

Publisher
Walter de Gruyter
Year
2021
Tongue
English
Leaves
170
Series
Intelligent Biomedical Data Analysis (IBDA) 4
Category
Library
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โœฆ Table of Contents

Preface
Contents
About the editors
List of contributors
1 Selecting and assessing the importance of malware analysis methods for web-based biomedical services through fuzzy-based decision-making procedure
2 A medical intelligent system for diagnosis of chronic kidney disease using adaptive neuro-fuzzy inference system
3 Contrast enhancement approach for satellite images using hybrid fusion technique and artificial bee colony optimization
4 Role of intelligent IoT applications in fog computing
5 Energy-efficient routing employing neural networks along with vector-based pipeline in underwater wireless sensor networks
6 A review of global optimization problems using meta-heuristic algorithm
7 Secure indexing and storage of big data
8 Genetic algorithm and normalized text feature based document classification
9 Nature-inspired optimization techniques
Index

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