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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
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
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop