Image-based Deep Learning for Smart Digital Twins: a Review
Smart Digital twins (SDTs) are being increasingly used to virtually replicate and predict the
behaviors of complex physical systems through continual data assimilation enabling the
optimization of the performance of these systems by controlling the actions of systems.
Recently, deep learning (DL) models have significantly enhanced the capabilities of SDTs,
particularly for tasks such as predictive maintenance, anomaly detection, and optimization.
In many domains, including medicine, engineering, and education, SDTs use image data …
behaviors of complex physical systems through continual data assimilation enabling the
optimization of the performance of these systems by controlling the actions of systems.
Recently, deep learning (DL) models have significantly enhanced the capabilities of SDTs,
particularly for tasks such as predictive maintenance, anomaly detection, and optimization.
In many domains, including medicine, engineering, and education, SDTs use image data …
Image-based Deep Learning for Smart Digital Twins: a Review
M Ruman Islam, M Subramaniam, PC Huang - arXiv e-prints, 2024 - ui.adsabs.harvard.edu
Abstract Smart Digital twins (SDTs) are being increasingly used to virtually replicate and
predict the behaviors of complex physical systems through continual data assimilation
enabling the optimization of the performance of these systems by controlling the actions of
systems. Recently, deep learning (DL) models have significantly enhanced the capabilities
of SDTs, particularly for tasks such as predictive maintenance, anomaly detection, and
optimization. In many domains, including medicine, engineering, and education, SDTs use …
predict the behaviors of complex physical systems through continual data assimilation
enabling the optimization of the performance of these systems by controlling the actions of
systems. Recently, deep learning (DL) models have significantly enhanced the capabilities
of SDTs, particularly for tasks such as predictive maintenance, anomaly detection, and
optimization. In many domains, including medicine, engineering, and education, SDTs use …
Showing the best results for this search. See all results