Children have reported lower happiness with school than any other area of their life, and the pressure is making anxiety ...
Abstract: For electromagnetic problems, Physics-Informed Neural Networks (PINNs) based on automatic differentiation (AD) often suffer from high computational cost and difficulty in accurately ...
Abstract: This work proposes a physics-guided unified deep learning architecture for single image restoration targeting dehazing, deraining, and low-light enhancement. The architecture first estimates ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results