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