Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Train Track Crack Classification Using CNN
Traffic Sign Detection and Recognition Using Deep Learning Approach
Traffic Rule Violation Detection System: Deep Learning Approach
TrafficNN: CNN-Based Road Traffic Conditions Classification
Traffic Congestion Control Using Hierarchical Decision Model
Traffic Analysis on Videos Using Deep Learning Techniques
Tracking Head Yaw by Interpolation of Template Responses
Towards Ontology-Guided Learning for Shepherding
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Towards behaviour inference in smart environments
Towards an Ontology-Based Recommender System for the Vehicle Sales Area
Towards a formal theory of learning
Toward a Smart City: Reinforcement Learning for Traffic Light Control