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cs.LG2023★ 1 cited
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
Ruiyuan Kang, Tingting Mu, Panos Liatsis +1
When deploying machine learning estimators in science and engineering (SAE) domains, it is critical to avoid failed estimations that can have disastrous consequences, e.g., in aero…
cs.LG2022
Spatially-resolved Thermometry from Line-of-Sight Emission Spectroscopy via Machine Learning
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
A methodology is proposed, which addresses the caveat that line-of-sight emission spectroscopy presents in that it cannot provide spatially resolved temperature measurements in non…