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Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Gaussian process regression for forecasting battery state of health
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
THC Concentration Estimation Model using FTIR Spectrum
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification