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Deep reinforcement learning for stochastic last-mile delivery with crowdshipping
Optimizing inventory control through a data-driven and model-independent framework
Prediction of transonic wing buffet pressure based on deep learning
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Generalizability of Code Clone Detection on CodeBERT
Applicability of machine learning in uncertainty quantification of turbulence models
Applicability of machine learning in uncertainty quantification of turbulence models
Bundle selection approaches for collaborative practical-oriented Pickup and Delivery Problems
Federated Learning for Spanish Ports as an Aid to Digitization
Progressive Bayesian Neural Networks
Machine Learning Based Approach to a Crane Load Estimation
Evaluation of the aircraft fuel economy using advanced statistics and machine learning
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Parareal with a learned coarse model for robotic manipulation
Maintenance Strategies Overlook for Devices Under Operation
Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties
Neurodynamische Module zur Bewegungssteuerung autonomer mobiler Roboter