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Machine Learning Methods to Improve the Accuracy of Industrial Robots
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning
Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads
The Path to Safe Machine Learning for Automotive Applications
An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection
Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking
Simulation of Telemetry Signals of a Car Using Machine Learning
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving