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Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming
Transonic Wing Buffet Load Prediction at Structural Vibration Conditions
Transferring knowledge as heuristics in reinforcement learning: A case-based approach
Transfer of human control strategy based on similarity measure
Trajectory control of unmanned aerial vehicle using neural nets with a stable learning algorithm
Trajectory based Flight Phase Identification with Machine Learning for Digital Twins
Train Track Crack Classification Using CNN
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Traffic Sign Detection and Recognition Using Deep Learning Approach
Traffic signal networks simulator with learning emotional algorithm
Traffic Rule Violation Detection System: Deep Learning Approach
TrafficNN: CNN-Based Road Traffic Conditions Classification
Traffic incident detection using particle swarm optimization
Traffic Congestion Control Using Hierarchical Decision Model
Traffic Analysis on Videos Using Deep Learning Techniques
Traffic accident analysis using machine learning paradigms
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 autonomous driving: the CMU Navlab. II. Architecture and systems
Toward a Smart City: Reinforcement Learning for Traffic Light Control
To Perform Road Signs Recognition for Autonomous Vehicles Using Cascaded Deep Learning Pipeline
Tool Use Learning for a Real Robot
This Is Your Captain Speaking: Multilingual Computer Assisted Cockpit Crew Announcement Training
The use of artificial neural networks for the intelligent optimal control of surface ships
The POP learning algorithms: reducing work in identifying fuzzy rules
The past, present, and future of neural networks for signal processing
The need for verification and validation techniques for adaptive control system
The NASA systems autonomy program: applying AI in space
The Importance of Applying Artificial Intelligence on Unmanned Aerial Vehicle
The Impact of Using Gamification on the Eco-driving Learning
The Effect of Harmony Memory Integration into the Bees Algorithm
The Development of E-Learning System for Fractal Fern Graphics Based on Iterated Function System
The conditions of student's structuration of knowledge in a virtual language class
The Brazilian experience of flex-fuel vehicles technology: towards low carbon mobility
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution