ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

Collection of how and why software systems fail

Physics-informed neural networks for highly compressible flows 🧠🌊

[UAI 2023] Official implementation of Efficient Failure Pattern Identification of Predictive Algorithms

Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty

Enabling Model-Based Diagnosis and Failure Model Generation with Active Automata Learning

RMC-TotalRisk is a powerful risk analysis software package designed to support dam and levee safety investment decisions.

Computational implementation for design methods of cellular steel beams