233 citations · 290 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 56 cited
Predicting Battery Lifetime Under Varying Usage Conditions from Early Aging Data
Tingkai Li, Zihao Zhou, Adam Thelen +2
Accurate battery lifetime prediction is important for preventative maintenance, warranties, and improved cell design and manufacturing. However, manufacturing variability and usage…
cs.LG2023★ 233 cited
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial
Venkat Nemani, Luca Biggio, Xun Huan +6
On top of machine learning models, uncertainty quantification (UQ) functions as an essential layer of safety assurance that could lead to more principled decision making by enablin…
cs.LG2023★ 1 cited
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
Hao Lu, Adam Thelen, Olga Fink +2
Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring d…