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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
THC Concentration Estimation Model using FTIR Spectrum
Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles
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
The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
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
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop
Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning