4 citations · 14 across the 10 of their papers we have counts for
4 papers · 1 filter
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh +1
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the…
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the…
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community. However, there…
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela +3
This paper proposes a new framework to detect, segment, and estimate the localization of the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. The purpose…