research
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03/20/2023
Uncertainty-aware deep learning for digital twin-driven monitoring: Application to fault detection in power lines
Deep neural networks (DNNs) are often coupled with physics-based models ...
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12/21/2022
Object detection-based inspection of power line insulators: Incipient fault detection in the low data-regime
Deep learning-based object detection is a powerful approach for detectin...
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05/26/2021
Bayesian Origin-Destination Estimation in Networked Transit Systems using Nodal In- and Outflow Counts
We propose a Bayesian inference approach for static Origin-Destination (...
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02/27/2020