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Maschinelles Lernen
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Artificial intelligence-aided detection of rail defects based on ultrasonic imaging data
Machine learning based prediction of rail transit signal failure: A case study in the United States
The prediction of autonomous vehicle occupants’ pre-crash motion during emergency braking scenarios
A comparative study on class-imbalanced gas turbine fault diagnosis
Soft one-class extreme learning machine for turboshaft engine fault detection
An optimized metamodel for predicting damage and oil outflow in tanker collision accidents
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
Data-driven model for ship encounter intention inference in intersection waters based on AIS data
Application of neural networks for the prediction of railway bearing failures