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Nature Inspired Computing for Data Science

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Table of Contents

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    Book Overview
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    Chapter 1 An Efficient Classification of Tuberous Sclerosis Disease Using Nature Inspired PSO and ACO Based Optimized Neural Network
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    Chapter 2 Mid-Term Home Health Care Planning Problem with Flexible Departing Way for Caregivers
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    Chapter 3 Performance Analysis of NASNet on Unconstrained Ear Recognition
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    Chapter 4 Optimization of Performance Parameter for Vehicular Ad-hoc NETwork (VANET) Using Swarm Intelligence
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    Chapter 5 Development of Fast and Reliable Nature-Inspired Computing for Supervised Learning in High-Dimensional Data
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    Chapter 6 Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in Microgrids
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    Chapter 7 Application of Genetic Algorithms for Designing Micro-Hydro Power Plants in Rural Isolated Areas—A Case Study in San Miguelito, Honduras
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    Chapter 8 Performance Evaluation of Different Machine Learning Methods and Deep-Learning Based Convolutional Neural Network for Health Decision Making
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    Chapter 9 Clustering Bank Customer Complaints on Social Media for Analytical CRM via Multi-objective Particle Swarm Optimization
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    Chapter 10 Benchmarking Gene Selection Techniques for Prediction of Distinct Carcinoma from Gene Expression Data: A Computational Study
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    Chapter 11 An Evolutionary Algorithm Based Hybrid Parallel Framework for Asia Foreign Exchange Rate Prediction
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