Tag: Machine learning

A multi-year Texas study combining drone imaging, machine learning, and explainable AI shows that wheat yield is best predicted from ...

Researchers used weekly lead measurements in baby teeth and machine learning to reconstruct cord blood lead concentrations at birth, offering ...

Researchers have encoded a machine learning feature-selection problem directly into the geometry and laser control of neutral-atom Rydberg arrays, achieving ...

A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...

Experiments and machine learning reveal that grain boundary sliding governs the exceptional room-temperature ductility of an ultrafine-grained Mg–Li alloy, while ...

A new multiomics and machine learning study suggests the natural nucleoside uridine may ease pulmonary fibrosis by directly engaging MMP7 ...

A closure-aware machine-learning framework can bidirectionally predict biomass fuel properties from incomplete characterization data, outperforming classic empirical correlations while flagging ...

Researchers at the University of Tabriz have developed GCAT, a graph-convolutional adversarial transformer that detects anomalies in multivariate sensor data ...

Researchers in Nanjing developed an interpretable machine learning model that analyzes MRI tumor subregions to predict prostate cancer aggressiveness noninvasively ...

Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...