A new role for extracellular matrix remodelling in Rheumatoid Arthritis (RA) pathology has been discovered. Dynamic collagen ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Abstract: Linear discriminant analysis (LDA) is a widely used technique for data classification. The method offers adequate performance in many classification problems, but it becomes inefficient when ...
Generative models based on flow matching have attracted significant attention for their simplicity and superior performance in high-resolution image synthesis. By leveraging the instantaneous ...
This project is about using Physics Informed Neural Networks (PINN) to solve unsteady turbulent flows using the Navier-Stokes equations. Specifically, given sparse observations (in this case, a mere 0 ...