Canadian researchers have trained a multi-view convolutional neural network to assess riparian buffer strip quality directly from high-resolution satellite imagery,...

Researchers have built an interpretable fuzzy logic system that detects at-risk students with high recall and translates risk scores into...

A unified explainable AI framework applied to Chicago, Los Angeles, and New York City shows XGBoost best detects crime hotspots...

Researchers combined ballistic experiments, finite element modeling, and a neural network to predict how PEEK plates fail under oblique high-speed...

Researchers have trained a deep neural network on 130,000 simulated samples to predict the reflection coefficients of an eight-port terahertz...

Researchers have developed S2Fusion, a local-to-global framework that improves infrared and visible image fusion through cross-modal dynamic kernels and a...

A new viewpoint in the Journal of General Internal Medicine argues that hospitals already collect the data needed to prevent...

A new flow matching framework assigns each tabular variable type its natural geometric space, improving synthetic data quality and resisting...

A study of 205 coconut-farming households in Vietnam's Mekong Delta finds that social expectations, not policy or personal attitudes, most...

Researchers have unveiled MassNet, a corpus of 1.5 billion mass spectra across 35 species, and a new transformer model that...