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Optimization in Machine Learning and Applications

Overview of attention for book
Optimization in Machine Learning and Applications
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Use of Artificial Neural Network for Abnormality Detection in Medical Images
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    Chapter 2 Deep Learning Techniques for Crime Hotspot Detection
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    Chapter 3 Optimization Techniques for Machine Learning
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    Chapter 4 A Package Including Pre-processing, Feature Extraction, Feature Reduction, and Classification for MRI Classification
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    Chapter 5 Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
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    Chapter 6 A Survey on the Latest Development of Machine Learning in Genetic Algorithm and Particle Swarm Optimization
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    Chapter 7 A Hybridized Data Clustering for Breast Cancer Prognosis and Risk Exposure Using Fuzzy C-means and Cohort Intelligence
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    Chapter 8 Development of Algorithm for Spatial Modelling of Climate Data for Agriculture Management for the Semi-arid Area of Maharashtra in India
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    Chapter 9 A Survey on Human Group Activity Recognition by Analysing Person Action from Video Sequences Using Machine Learning Techniques
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    Chapter 10 Artificial Intelligence in Journalism: A Boon or Bane?
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    Chapter 11 The Space of Artificial Intelligence in Public Relations: The Way Forward
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    Chapter 12 Roulette Wheel Selection-Based Computational Intelligence Technique to Design an Efficient Transmission Policy for Energy Harvesting Sensors
Attention for Chapter 5: Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
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Citations

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Chapter title
Predictive Analysis of Lake Water Quality Using an Evolutionary Algorithm
Chapter number 5
Book title
Optimization in Machine Learning and Applications
Published by
Springer, Singapore, November 2019
DOI 10.1007/978-981-15-0994-0_5
Book ISBNs
978-9-81-150993-3, 978-9-81-150994-0
Authors

Mrunalini Jadhav, Kanchan Khare, Sayali Apte, Rushikesh Kulkarni, Jadhav, Mrunalini, Khare, Kanchan, Apte, Sayali, Kulkarni, Rushikesh

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 1 100%
Readers by discipline Count As %
Environmental Science 1 100%

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