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.

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

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

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

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

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Introduction In the field of hardware development, protracted prototype iteration cycles and high error correction costs are ...

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

This innovative approach combines climate data, archaeological evidence, and population dynamics to simulate how Neanderthals moved across the landscape. The model reveals that by the time ...