Supporting Decision Making under Deep Uncertainty techniques with hydraulic modeling

Dynamic Adaptive Epidemic Control: A case study of anticipatory action to cholera outbreaks in Cameroon

Enhancing Aviation Maintenance with Explainable AI: A Bayesian Approach to Counterfactual Explanations for Remaining Useful Life Estimation

Reasoning about MDPs Abstractly: Bayesian Policy Search with Uncertain Prior Knowledge

Uncertainty-Aware Reinforcement Learning for Flight Control: Mastering the Mystery of Flight

Predictive analytical terminal ballistics modelling of multi-layered non-metallic targets: Development, experimental validation and uncertainty quantification

Long-term effects of creep and shrinkage on the structural behavior of balanced cantilever prestressed concrete bridges

Electrical energy storage scheduling: Short-term scheduling for the intraday market using stochastic programming

Designing Dutch tunnel ventilation systems dominated by an uncertain fire scenario

Model-Driven representation of the Infrarium Serious Game: From the Network of Puzzles concept to the Unified Modelling Language notation

Computational Predictive Modeling of a Novel Pulmonary Valved Conduit

Aircraft Tail-Specific Performance Modeling for Fuel Efficient Flight Operations in the Cruise Phase

Uncertainty quantification for tensor network constrained kernel machines: A frequentist and Bayesian approach

Elastic gradient boosting decision trees under limited labels by sequential epistemic uncertainty quantification: Elastic CatBoost Uncertainty (eCBU)

Uncertainty quantification for solar sails in the near-Earth environment

Multi-dimensional Uncertainty Analysis for Proton FLASH Radiotherapy: Including machine-intrinsic uncertainties in pencil beam placement and cyclotron proton beam current

The future of green electrolytic hydrogen production in the Netherlands: Assessing uncertainty for determining a prudent production capacity

Measurement Uncertainty Analysis of a Twyman-Green Interferometer for Lens Testing

On Game-Theoretic Planning with Unknown Opponents' Objectives

Machine learning techniques for investigating the Coulomb friction and hysteresis in structural joints: A data driven approach for monitoring non-linearity in engineering systems