1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction
Shuaikai Shi, Ruiyuan Kang, Panos Liatsis
Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructing images of the electrical conductivity of tissues and materials. It is popular i…
cs.NE2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
Ruiyuan Kang, Panos Liatsis, Meixia Geng +1
Laser absorption spectroscopy (LAS) quantification is a popular tool used in measuring temperature and concentration of gases. It has low error tolerance, whereas current ML-based…
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…