PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

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This paper presents a comparison of machine learning (ML) methods used for three-dimensional localization of partial discharges (PD) in a power transformer tank. The study examines ML and deep learning (DL) methods, ranging from support vector machines (SV ...

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Selection bias may arise when data have been chosen in a way that subsequent analysis does not account for. Such bias can arise in climate event attribution studies that are performed rapidly after a devastating "trigger event'', whose occurrence correspon ...

PID Controller Design with Specifications on the Infinity-Norm of Sensitivity Functions

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Partial discharge localization in power transformer tanks using machine learning methods

Spectral Estimators for High-Dimensional Matrix Inference

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Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

Stability: a search for structure

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

Airborne sensor fusion: Expected accuracy and behavior of a concurrent adjustment

Toward Reliable Human Pose Forecasting With Uncertainty

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

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

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

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

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

Luminosity determination using Z boson production at the CMS experiment

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

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

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

Modeling local thermal responses of individuals: Validation of advanced human thermo-physiology models

Timing and spatial selection bias in rapid extreme event attribution