3 papers
stat.ML2025
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
Ali Mohammad-Djafari, Ning Chu, Li Wang
Inverse problems arise across scientific and engineering domains, where the goal is to infer hidden parameters or physical fields from indirect and noisy observations. Classical ap…
eess.IV2025
Temperature calibration of surface emissivities with an improved thermal image enhancement network
Ning Chu, Siya Zheng, Shanqing Zhang +5
Infrared thermography faces persistent challenges in temperature accuracy due to material emissivity variations, where existing methods often neglect the joint optimization of radi…
cs.LG2024
Model Based and Physics Informed Deep Learning Neural Network Structures
Ali Mohammad-Djafari, Ning Chu, Li Wang +2
Neural Networks (NN) has been used in many areas with great success. When a NN's structure (Model) is given, during the training steps, the parameters of the model are determined u…