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RISA Drag Model for Rough Surfaces Learned Using Feature Importance-Informed Symbolic Regression
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Predicting the drag of rough surfaces presents a long-standing challenge in fluid dynamics. To address this, we propose a new drag model developed through a feature importance-informed symbolic regression method. ...
Estimation of Remaining Driving Range of Electric Vehicles Based on Segment-Wise LSTM and Feature Hierarchical Classification
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Accurate estimation of the remaining driving range (RDR) in electric vehicles is crucial for safety and user experience. This study proposes a data-driven RDR estimation method using a segment-wise LSTM framework, ...