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Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected

Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected (Paperback, 2021)

Michal Wozniak, Kuan-ching Li, Sabu M. Thampi, Selwyn Piramuthu, Stefano Berretti (엮은이)
  |  
Springer
2021-02-06
  |  
93,100원

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Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected

책 정보

· 제목 : Machine Learning and Metaheuristics Algorithms, and Applications: Second Symposium, Somma 2020, Chennai, India, October 14-17, 2020, Revised Selected (Paperback, 2021) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9789811604188
· 쪽수 : 247쪽

목차

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 I²-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.

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