Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select » książka
Hybrid Duty Cycle Algorithm for Industrial WSNs Using Machine Learning.- Analyzing Architectures of Reservoir Computing Models Using Particle Swarm Intelligence.- A Cost-Effective Data Node Management Scheme for Hadoop Clusters in Cloud Environment.- Deep Temporal Analysis of Twitter Bots.- Comparison of Metaheuristics for a Vehicle Routing Problem in a Farming Community.- A Brain Computer Interface Based Visual Keyboard System Using SSVEP and Electrooculogram.- Stock Market Prediction Using a Hybrid Model.- An Internet of Things Framework to Forecast Indoor Air Quality Using Machine Learning.- Strategy Inference via Real-time Homeomorphic and Isomorphic Tree Matching of Probabilistic Graphical Models.- CNN and Stacked LSTM Model for Indian Sign Language Recognition.- Air Quality Monitoring and Classification Using Machine Learning.- Facial Emotion Recognition Using Shallow CNN.- Lead Artist Identification from Music Videos Using Auto-Encoders.- Enhanced Differential Evolution-based EEG Channel Selection.- An Efficient Word Embedded Click-Bait Classification of YouTube Titles Using SVM.- NSGA III for CNC End Milling Process Optimization.- Steering Angle Estimation for Self-Driving Car Using Deep Learning.- A Textural Feature Based Cytological Image Classification Using Artificial Neural Network.- Proposing Contextually Relevant Advertisements for Online Videos.- Comparison of Metaheuristics for the Allocation of Resources for an After-School Program in Remote Areas of India.- A C-LSTM with Attention Mechanism for Question Categorization.- QuicklyCook: A User-Friendly Recipe Recommender.- Early Detection of Suicidal Predilection on Instagram Social Networking Service.