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Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine
An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software
Aeroengine Gas Path Parameter Trend Prediction Based on LSTM
Auto-Tuning PID Controller on Electromechanical Actuators Using Machine Learning
Towards Semi-Supervised Causal Open Set Recognition
A Diagnostic Technology of Powertrain Parts that Cause Abnormal Noises Using Artificial Intelligence
Catalyst Design Study of Detailed Reaction Model including Gas Diffusivity into the Washcoat
Machine Learning Models for Predicting Grinding Wheel Conditions Using Acoustic Emission Features
Dynamic Load Identification for Battery Pack Bolt Based on Machine Learning
Semantic Segmentation with High Inference Speed in Off-Road Environments
Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration
Identification of Driver’s Braking Intention in Cut-In Scenarios
Reinforcement Learning Technique for Parameterization in Powertrain Controls