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Machine Learning and Metaheuristics Algorithms, and Applications

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Cover of 'Machine Learning and Metaheuristics Algorithms, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Learning 3DMM Deformation Coefficients for Action Unit Detection
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    Chapter 2 Smart Security and Surveillance System in Laboratories Using Machine Learning
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    Chapter 3 Deep Neural Networks with Multi-class SVM for Recognition of Cross-Spectral Iris Images
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    Chapter 4 Gaze Fusion-Deep Neural Network Model for Glaucoma Detection
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    Chapter 5 Deep Learning Based Stable and Unstable Candle Flame Detection
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    Chapter 6 Emotion Recognition from Facial Expressions Using Siamese Network
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    Chapter 7 Activity Modeling of Individuals in Domestic Households Using Fuzzy Logic
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    Chapter 8 Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
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    Chapter 9 An Improved Salp Swarm Algorithm Based on Adaptive $$\upbeta $$ β -Hill Climbing for Stock Market Prediction
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    Chapter 10 Data Driven Methods for Finding Pattern Anomalies in Food Safety
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    Chapter 11 Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-optimization Algorithm
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    Chapter 12 Big Data: Does BIG Matter for Your Business?
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    Chapter 13 Modelling Energy Consumption of Domestic Households via Supervised and Unsupervised Learning: A Case Study
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    Chapter 14 Machine Learning and Soft Computing Techniques for Combustion System Diagnostics and Monitoring: A Survey
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    Chapter 15 Traffic Sign Classification Using ODENet
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    Chapter 16 Analysis of UNSW-NB15 Dataset Using Machine Learning Classifiers
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    Chapter 17 Concept Drift Detection in Phishing Using Autoencoders
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    Chapter 18 Detection of Obfuscated Mobile Malware with Machine Learning and Deep Learning Models
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    Chapter 19 CybSecMLC: A Comparative Analysis on Cyber Security Intrusion Detection Using Machine Learning Classifiers
Attention for Chapter 8: Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
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Citations

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225 Mendeley
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Chapter title
Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
Chapter number 8
Book title
Machine Learning and Metaheuristics Algorithms, and Applications
Published by
Springer, Singapore, January 2021
DOI 10.1007/978-981-16-0419-5_8
Book ISBNs
978-9-81-160418-8, 978-9-81-160419-5
Authors

Mehtab, Sidra, Sen, Jaydip, Dutta, Abhishek

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 225 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 7%
Student > Bachelor 16 7%
Student > Ph. D. Student 13 6%
Researcher 7 3%
Professor 7 3%
Other 28 12%
Unknown 138 61%
Readers by discipline Count As %
Computer Science 47 21%
Engineering 10 4%
Economics, Econometrics and Finance 9 4%
Business, Management and Accounting 8 4%
Unspecified 5 2%
Other 10 4%
Unknown 136 60%