Name: Machine Learning and Metaheuristics Algorithms, and Applications
ISBN: 978-981-16-0419-5

Machine Learning and Metaheuristics Algorithms, and Applications

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Editors:

Sabu M. Thampi
1. Indian Institute of Information Technology and Management - Kerala, Trivandrum, India
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Selwyn Piramuthu
1. University of Florida, Gainesville, USA
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Kuan-Ching Li
1. Providence University, Taichung, Taiwan
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Stefano Berretti
1. Università degli Studi di Firenze, Florence, Italy
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Michal Wozniak
1. Wrocław University of Technology, Wrocław, Poland
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Dhananjay Singh
1. Hankuk University of Foreign Studies, Yongin, Korea (Republic of)
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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1366)

Included in the following conference series:

SoMMA: Symposium on Machine Learning and Metaheuristics Algorithms, and Applications

Conference proceedings info: SoMMA 2020.

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About this book

This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, SoMMA 2020, held in Chennai, India, in October 2020. Due to the COVID-19 pandemic the conference was held online.

The 12 full papers and 7 short papers presented in this volume were thoroughly reviewed and selected from 40 qualified submissions. The papers cover such topics as machine learning, artificial intelligence, Internet of Things, modeling and simulation, disctibuted computing methodologies, computer graphics, etc.

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Article 08 February 2018

Metaheuristic Optimization: Nature-Inspired Algorithms and Applications

Keywords

Table of contents (19 papers)

Front Matter

Pages i-x

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Learning 3DMM Deformation Coefficients for Action Unit Detection
- Luigi Ariano, Claudio Ferrari, Stefano Berretti
Pages 1-14
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Smart Security and Surveillance System in Laboratories Using Machine Learning
- Ashwini Patil, Krupali Shetty, Shweta Hinge, G. Tejaswini, V. Anni Shinay, Suneeta V. Budihal et al.
Pages 15-28
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Deep Neural Networks with Multi-class SVM for Recognition of Cross-Spectral Iris Images
- Mulagala Sandhya, Ujas Rudani, Dilip Kumar Vallabhadas, Mulagala Dileep, Sriramulu Bojjagani, Sravya Pallantla et al.
Pages 29-41
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Gaze Fusion-Deep Neural Network Model for Glaucoma Detection
- Sajitha Krishnan, J. Amudha, Sushma Tejwani
Pages 42-53
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Deep Learning Based Stable and Unstable Candle Flame Detection
- Amir Khan, Mohammad Samar Ansari
Pages 54-62
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Emotion Recognition from Facial Expressions Using Siamese Network
- Naga Venkata Sesha Saiteja Maddula, Lakshmi R. Nair, Harshith Addepalli, Suja Palaniswamy
Pages 63-72
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Activity Modeling of Individuals in Domestic Households Using Fuzzy Logic
- Sristi Ram Dyuthi, Shahid Mehraj Shah
Pages 73-87
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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
- Sidra Mehtab, Jaydip Sen, Abhishek Dutta
Pages 88-106
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An Improved Salp Swarm Algorithm Based on Adaptive \(\upbeta \)-Hill Climbing for Stock Market Prediction
- Abhishek Kumar, Rishesh Garg, Arnab Anand, Ram Sarkar
Pages 107-121
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Data Driven Methods for Finding Pattern Anomalies in Food Safety
- S. Anantha Krishna, Amal Soman, Manjusha Nair
Pages 122-130
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Exam Seating Allocation to Prevent Malpractice Using Genetic Multi-optimization Algorithm
- Madhav M. Kashyap, S. Thejas, C. G. Gaurav, K. S. Srinivas
Pages 131-145
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Big Data: Does BIG Matter for Your Business?
- Wei Zhou, Selwyn Piramuthu
Pages 146-156
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Modelling Energy Consumption of Domestic Households via Supervised and Unsupervised Learning: A Case Study
- Shahid Mehraj Shah
Pages 157-171
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Machine Learning and Soft Computing Techniques for Combustion System Diagnostics and Monitoring: A Survey
- Amir Khan, Mohd. Zihaib Khan, Mohammad Samar Ansari
Pages 172-186
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Traffic Sign Classification Using ODENet
- Yaratapalli Nitheesh Chandra Sainath, Reethesh Venkataraman, Abhishek Dinesan, Ashni Manish Bhagvandas, Padmamala Sriram
Pages 187-197
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Analysis of UNSW-NB15 Dataset Using Machine Learning Classifiers
- Anne Dickson, Ciza Thomas
Pages 198-207
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Concept Drift Detection in Phishing Using Autoencoders
- Aditya Gopal Menon, Gilad Gressel
Pages 208-220
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Detection of Obfuscated Mobile Malware with Machine Learning and Deep Learning Models
- K. A. Dhanya, O. K. Dheesha, T. Gireesh Kumar, P. Vinod
Pages 221-231
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CybSecMLC: A Comparative Analysis on Cyber Security Intrusion Detection Using Machine Learning Classifiers
- Sriramulu Bojjagani, B. Ramachandra Reddy, Mulagala Sandhya, Dinesh Reddy Vemula
Pages 232-245
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Other volumes

Machine Learning and Metaheuristics Algorithms, and Applications

Editors and Affiliations

Indian Institute of Information Technology and Management - Kerala, Trivandrum, India

Sabu M. Thampi
University of Florida, Gainesville, USA

Selwyn Piramuthu
Providence University, Taichung, Taiwan

Kuan-Ching Li
Università degli Studi di Firenze, Florence, Italy

Stefano Berretti
Wrocław University of Technology, Wrocław, Poland

Michal Wozniak
Hankuk University of Foreign Studies, Yongin, Korea (Republic of)

Dhananjay Singh

Bibliographic Information

Book Title: Machine Learning and Metaheuristics Algorithms, and Applications
Book Subtitle: Second Symposium, SoMMA 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers
Editors: Sabu M. Thampi, Selwyn Piramuthu, Kuan-Ching Li, Stefano Berretti, Michal Wozniak, Dhananjay Singh
Series Title: Communications in Computer and Information Science
DOI: https://doi.org/10.1007/978-981-16-0419-5
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-16-0418-8Published: 06 February 2021
eBook ISBN: 978-981-16-0419-5Published: 05 February 2021
Series ISSN: 1865-0929
Series E-ISSN: 1865-0937
Edition Number: 1
Number of Pages: X, 247
Number of Illustrations: 23 b/w illustrations
Topics: Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences, Computers and Education, Information Systems and Communication Service, Computer System Implementation

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