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Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, SoMMA 2020, Chennai, India, October 1417, 2020, Revised Selected Papers 1st ed. 2021 [Pehme köide]

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  • Formaat: Paperback / softback, 247 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 23 Illustrations, black and white; X, 247 p. 23 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1366
  • Ilmumisaeg: 06-Feb-2021
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811604185
  • ISBN-13: 9789811604188
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Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, SoMMA 2020, Chennai, India, October 1417, 2020, Revised Selected Papers 1st ed. 2021Suurem pilt
  • Formaat: Paperback / softback, 247 pages, kõrgus x laius: 235x155 mm, kaal: 454 g, 23 Illustrations, black and white; X, 247 p. 23 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 1366
  • Ilmumisaeg: 06-Feb-2021
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9811604185
  • ISBN-13: 9789811604188
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789811604188.html
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. 
Learning 3DMM Deformation Coefficients for Action Unit Detection.- Smart
Security and Surveillance System in Laboratories Using Machine
Learning.- Deep Neural Networks with Multi-Class SVM for Recognition of
Cross-Spectral Iris Images.- Gaze Fusion-Deep Neural Network Model for
Glaucoma Detection.- Emotion Recognition from Facial Expressions Using
Siamese Network.- Activity Modeling of Individuals in Domestic Households
Using Fuzzy Logic.- Stock Price Prediction Using Machine Learning and
LSTM-Based Deep Learning Models.- An Improved Salp Swarm Algorithm Based on
Adaptive β-Hill Climbing for Stock Market Prediction.- Data Driven Methods
for Finding Pattern Anomalies in Food Safety.- Exam Seating Allocation to
Prevent Malpractice Using Genetic Multi-Optimization Algorithm.- Big Data:
Does BIG Matter for Your Business?.- Modelling Energy Consumption of Domestic
Households via Supervised and Unsupervised Learning: A Case Study.- Machine
Learning and Soft Computing Techniques for Combustion System Diagnostics and
Monitoring: A Survey.- Traffic Sign Classification Using ODENet.- Analysis of
UNSW-NB15 Dataset Using Machine Learning Classifiers.- Concept Drift
Detection in Phishing Using Autoencoders.- Detection of Obfuscated Mobile
Malware with Machine Learning and Deep Learning Models.- CybSecMLC: A
Comparative Analysis on Cyber Security Intrusion Detection Using Machine
Learning Classifiers.