On uncertainty estimates of crystallographic quantities including cell-parameter uncertainties

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On uncertainty estimates of crystallographic quantities including cell-parameter uncertainties

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Uncertainty quantification by direct propagation of shallow ensembles

Toward Reliable Human Pose Forecasting With Uncertainty

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Design of an Open-Loop Pile-Oscillation Program in the CROCUS Reactor

Model uncertainties in action effects and load bearing capacity calculation in statically indeterminate reinforced concrete structures

Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis

A FEM modelling workflow to simulate THM effects in the rock around nuclear waste packages

Luminosity determination using Z boson production at the CMS experiment

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Machine Learning for Screening Small Molecules as Passivation Materials for Enhanced Perovskite Solar Cells

Plasmonically enhanced molecular junctions for investigation of atomic-scale fluctuations in self-assembled monolayers

Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection

Physics-informed neural network estimation of material properties in soft tissue nonlinear biomechanical models

Precision luminosity measurement at hadron colliders

Seismic Testing of Adjacent Interacting Masonry Structures – Analysis of a Blind Prediction

Influence of model uncertainty and long term deformations in action effects calculation in reinforced concrete structures

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Data-driven IQC-Based Robust Control Design for Hybrid Micro-disturbance Isolation Platform

Optimization and propagation of uncertainties of a THM numerical model representing a nuclear waste repository concept

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models