Integrating Machine Learning and Multi Objective Optimization in Biofuel Systems...
Machine Learning Approach to Predict the DC Bias for Adaptive OFDM Transmission ...
Leveraging Spatial and Temporal Data to Predict Heavy Freight Vehicle Traffic Fl...
An Early Warning Method Based on Blending of Deep Generative Model and Oversampl...
Machine Translation Performance for Low Resource Languages A Systematic Literatu...
Application of Artificial Intelligence in Tinnitus Diagnosis and Treatment A Pil...
Learning Node Representations via Sketching the Generative Process With Events B...
Human Centric Transformer for Domain Adaptive Action Recognition
A Survey of Deep Learning Approaches for Pedestrian Detection in Autonomous Systems
An Approach to Truck Driving Risk Identification A Machine Learning Method Based...
Adaptive Energy Management for MATTER Enabled Smart Homes
A Novel Method for News Recommendation on Websites Using the Clustered Vectors O...
A Deep Learning Based Approach for Two Phase Flow Pattern Classification Using V...
Enhanced Alzheimer s Disease Prediction Through Integration of Protein Protein I...
FADQN A Heuristic Reinforcement Learning Mechanism for UAV Path Planning in Unkn...
Aspect Based Sentiment Analysis A Comprehensive Review and Open Research Challenges
