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Multi-part Analysis and Techniques for Air Traffic Speech Recognition
Understanding the Stick Slip Behavior of Plastics and Target Setting: An OEM Perspective
Synthesizing Data for Autonomous Driving: Multi-Agent Reinforcement Learning Meets Augmented Reality
Simulation of Telemetry Signals of a Car Using Machine Learning
Reinforcement Learning Based Parking Space Egress for Autonomous Driving
Predictive Model Development Using Machine Learning for Engine Cranktrain System
Vehicle Outer Body Panel Oil Canning Performance Prediction Using Machine Learning
Prediction of Hybrid Electric Bus Speed Using Deep Learning Method
Hybrid Modeling of a Catalyst with Autoencoder Based Selection Strategy
Deep Optimization of Catalyst Layer Composition via Data-Driven Machine Learning Approach
No Cost Autonomous Vehicle Advancements in CARLA through ROS
Modeling Weather Impact on Ground Delay Programs
Machine Learning based Operation Strategy for EV Vacuum Pump
Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study