Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

Initial work includes data integration and measuring results over time, including prevented events, time-to-locate and time-to-restore metrics. Itron and Toumetis expect to use the results to guide a ...

The current Commonwealth Home Support Program (CSHP) is due to wind up in July 2027, however, OPAN has listed increasing wait ...

Photonics is promising to handle extensive vector multiplications in AI applications. Scientists in China have promoted a programmable and reconfigurable photonic linear vector machine named SUANPAN, ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...