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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
A deep neural network inverse solution to recover pre-crash impact data of car collisions
Advances in intelligent and autonomous navigation systems for small UAS
A fault tolerant neural network for space-based 3D printing quality assessment
A gradient boosting method to improve travel time prediction
A gravity assist mapping for the circular restricted three-body problem using Gaussian processes
A hybrid machine learning model for predicting Real-Time secondary crash likelihood
Aircraft taxi time prediction: Feature importance and their implications
A kilometer or a mile? Does buffer size matter when it comes to car ownership?
A literature review of Artificial Intelligence applications in railway systems
A literature review of machine learning algorithms for crash injury severity prediction
A machine learned go-around prediction model using pilot-in-the-loop simulations
A machine learning and simulation-based dynamic parking choice model for airports
A machine learning approach to crater detection from topographic data
A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations
A machine learning model to predict runway exit at Vienna airport
A methodology for identifying similar days in air traffic flow management initiative planning