From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance ...

Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...

Dr. Ward studies how extreme heat is reshaping lives and livelihoods in communities across the United States. Just five days into summer, much of the United States is gripped by a record-breaking heat ...

An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...

Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...