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Maschinelles Lernen
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Machine learning approaches for detection of robot errors in human brain signals
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee
Traffic campaigns and overconfidence: An experimental approach
Factors impacting bike crash severity in urban areas
A literature review of machine learning algorithms for crash injury severity prediction
Examining optoelectronics in machine vision and applications in industry 4.0
Real-time traffic accidents post-impact prediction: Based on crowdsourcing data
The use of machine learning improves the assessment of drug-induced driving behaviour
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees