Abstract: To fill in the huge gap between the rapid development of modern display devices with high dynamic range (HDR) and the mainstream media source with a low bit depth of 8, bit-depth enhancement ...

Computational science and engineering are shifting toward data-centric, optimization-based, and self-correcting solvers with artificial intelligence. This transition faces challenges such as low ...

Linear interpolation has been adapted in many signal and image processing applications due to its simple implementa- tion and low computational cost. In standard linear interpolation the kernel is the ...

CoCoNuT is a light-weight Python package for efficient partitioned multi-physics simulations, with a focus on fluid-structure interaction. Thanks to its fully modular approach, the package is ...

Back in August 2023, I started graduate school and weeks into my program I learned the power of linear regression. Since then, I have used it in most assignments and tasks. As a data enthusiast, I ...

Abstract: We use the fully discrete interpolation coefficient mixed finite element methods to solve the semi-linear parabolic optimal control problems. The space discretization of the state variable ...

a. I have been lucky to be in a position that I can have a positive impact on the career of hundreds (if not thousands) of people. Fortunately, I feel relatively secure in my career and I have ...

Image processing and computer vision play crucial roles in data science, allowing for the extraction of information from images. Basic image transformation techniques include translation, parametric ...

Wannier functions 1,2 (WFs) are a powerful tool for evaluating various electronic properties of solids, ranging from electric polarization 3,4,5 and orbital magnetization 6,7,8 to topological ...