The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

University of Victoria (UVic) biologists have discovered that even closely related fish species make unique and distinctive ...

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

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to adaptive firewalls, AI is reshaping the balance of power between attackers ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Scientists mapped hidden DNA switches in brain support cells to understand how gene control may influence Alzheimer’s disease ...