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Maschinelles Lernen
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A Bayesian deep learning method for freeway incident detection with uncertainty quantification
Accelerating reliability-based topology optimization via gradient online learning and prediction
Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens
A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach
A comprehensive review of trip generation models based on land use characteristics
A crash severity analysis at highway-rail grade crossings: The random survival forest method
A data analytics framework for anomaly detection in flight operations
A data-centric weak supervised learning for highway traffic incident detection
A data-driven Bayesian model for evaluating the duration of detention of ships in PSC inspections
A data-driven decision support system for service completion prediction in last mile logistics
A data-driven hybrid control framework to improve transit performance
A data-driven operational model for traffic at the Dallas Fort Worth International Airport