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Machine Learning and Metaheuristics: Methods and Analysis

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Cover of 'Machine Learning and Metaheuristics: Methods and Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Biomedical Imaging Segmentation and Classification Framework Based on Soft Computing Techniques
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    Chapter 2 Optimization Technique Used in Biomedical for Qualitative Sleep Analysis
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    Chapter 3 Renewable Energy Optimization Solutions Using Meta-heuristics Methods
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    Chapter 4 Stochastic Optimization of Renewable Energy Sources in Distribution Networks
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    Chapter 5 Metaheuristic Algorithms for the Classification and Prediction of Skin Lesions: A Comprehensive Review
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    Chapter 6 Automatic Prediction of Non-alcoholic Liver Disease Using Deep Learning Models
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    Chapter 7 Fuzzy Logic Controller-Based Off-Grid Solar Water Pumping System
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    Chapter 8 Renewable Energy Optimization System Using Fuzzy Logic
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    Chapter 9 Artificial Intelligence-Based Internet of Things Security
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    Chapter 10 Memristors: A Missing Element is a Boon Toward the Development of Neuromorphic Computing and AI
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    Chapter 11 Machine Learning and Deep Learning Techniques
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    Chapter 12 Classification Models in Education Domain Using PSO, ABC, and A2BC Metaheuristic Algorithm-Based Feature Selection and Optimization
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    Chapter 13 Metaheuristic Algorithm’s Role in Medical Care and Diagnostics
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    Chapter 14 Biomedical Applications of Chiral Nanoplasmonics
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Title
Machine Learning and Metaheuristics: Methods and Analysis
Published by
Springer Nature Singapore, November 2023
DOI 10.1007/978-981-99-6645-5
ISBNs
978-9-81-996644-8, 978-9-81-996645-5
Editors

Dulhare, Uma N., Houssein, Essam Halim

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