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The Missing Link: Developing a Safety Case for Perception Components in Automated Driving
Local anomaly detection in hybrid rocket combustion tests
Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation
Recent efforts in Machine Learning for RANS modelling of separated flows
Clustering of paraffin-based hybrid rocket fuels combustion data
Hybrid Electric Vehicle Powertrain Control Based on Reinforcement Learning
Applications of machine learning methods in port operations – A systematic literature review
A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption
Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand
Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function
Machine learning and deep learning