In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

The minimization of matrix bandwidth is a cornerstone challenge in computational linear algebra and graph theory, with direct implications for the efficiency of numerical solvers, finite-element ...

[14 Aug 2025] Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling [2 Aug 2025] TreeDiff: AST-Guided Code Generation with Diffusion LLMs [25 Jul 2025] ...

Abstract: In-memory computing (IMC) is a technique that enables memory to perform computation so that data transfer between processor and memory can be reduced, improving energy efficiency. A popular ...

Molecular dynamics is a workhorse of modern computational condensed matter physics. It is frequently used to simulate materials to observe how small scale interactions can give rise to complex ...

Abstract: The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is undermined when confronted with reality, where they may be uncertain due to lack of ...

It is of vital importance to stitch the two images into a panorama in many computer vision applications of motion detection and tracking and virtual reality, panoramic photography, and virtual tours.

A quantitative understanding of the strength and plasticity of crystalline solids requires the ability to predict the rate of thermally activated processes such as dislocation cross-slip. However, ...

Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and ...

The best algorithm for a computational problem generally depends on the “relevant inputs,” a concept that depends on the application domain and often defies formal articulation. Although there is a ...