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Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Machine Learning Technologies in Internet of Vehicles
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Intelligence After Next: Breaking Past AI's Confirmation Bias
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
Traffic Light Control and Machine Learning: A Systematic Mapping Review
Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration
Future Autonomous Transportation: Challenges and Prospective Dimensions
Machine learning approaches for detection of robot errors in human brain signals
Studying the capabilities of the analytical system based on the machine learning method
Combining learning and structure for robotic manipulation
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems