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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
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
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
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function