Explainable TabNet model predicts workforce performance scores in benchmark dataset
An explainable TabNet framework achieved an R² of 0.9880 when predicting employee performance from 100,000 workforce records, while its authors ...
An explainable TabNet framework achieved an R² of 0.9880 when predicting employee performance from 100,000 workforce records, while its authors ...
A new Scientific Reports study links loss of the m6A demethylase FTO to hepatic stellate cell activation and liver fibrosis ...
A multi-scale vision transformer analyzing UAV hyperspectral images identified pine wilt disease at the green attack and early stages with ...
Molecular docking analysis shows beta-cyclodextrin binds Atrazine and 2,4-D most favorably, while gamma-cyclodextrin best accommodates the bulkier Chlorpyrifos.
A hybrid ResNet50–VGG16 model with Coordinate Attention and focal loss reached a macro F1-score of 0.718 on the 22-class GastroVision ...
A lightweight dual-branch model called EdgeNetTF achieved 87.01% accuracy recognizing 49 hand gestures from sEMG signals on the NinaPro DB2 ...
A two-stage study found that short-lived reductions in heart rate variability predicted higher verbal creative performance in daily life, with ...
An unsupervised AI and Earth observation framework screened agricultural water-use anomalies across Cyprus using six hydrological years of data.
An enhanced IGA-iFEM method reconstructs full-field displacement and strain in discontinuous, stiffened beam structures while greatly reducing the number of ...
A modular path-planning framework called LKSD-PRRT* achieved a 100% static planning success rate and cut dynamic recovery time by 77.25% ...
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© 2026 Scienmag - Science Magazine