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Non-intrusive reduced-order modeling for fluid problems: A brief review
A review of the artificial neural network surrogate modeling in aerodynamic design
Performance evaluation and prediction of rudders based on machine learning technology
Neural networks for modelling the energy consumption of metro trains
Machine learning based prediction of rail transit signal failure: A case study in the United States
Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data
Soft one-class extreme learning machine for turboshaft engine fault detection
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
The prediction of autonomous vehicle occupants’ pre-crash motion during emergency braking scenarios
Uncertainty quantification of aeroelastic wings flutter using an optimized machine learning approach
SMART on-board multi-sensor obstacle detection system for improvement of rail transport safety
A comparative study on class-imbalanced gas turbine fault diagnosis