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Machine learning
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Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification
THC Concentration Estimation Model using FTIR Spectrum
Simulation of Telemetry Signals of a Car Using Machine Learning
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving