Feature-Optimized AI Tracks Crop Water Stress in Egypt’s Nile Delta
A feature-optimized machine learning framework using MODIS satellite data achieves highly accurate estimation of crop vegetation water stress in Egypt's ...
A feature-optimized machine learning framework using MODIS satellite data achieves highly accurate estimation of crop vegetation water stress in Egypt's ...
Proteomic aging clocks have been integrated into a phase 2a clinical trial, enabling simultaneous assessment of geroprotective effects within an ...
A large MIMIC-IV analysis found that elevated serum osmolality was independently associated with inflammatory bowel disease in hospitalized patients with ...
Researchers have introduced SDOFMv2, a family of AI foundation models trained on over 500,000 Solar Dynamics Observatory images that learn ...
Researchers have developed SA-RMMR, an extractive AI framework that summarizes thousands of e-commerce product reviews while preserving product aspects, balancing ...
A wavelet-based deep learning framework developed at Southwest Jiaotong University separates true aerodynamic forces from start-up vibration in hypersonic wind ...
A new review in the Journal of Ovarian Research maps how artificial intelligence is fusing hormones, imaging, clinical records, and ...
A hybrid AI framework combining spatio-temporal graph networks with the Comment Feedback Optimization Algorithm lifts biomass energy forecasting accuracy to ...
Researchers have recast multi-label classification as an order structure learning problem, yielding classifiers that better withstand noisy and imbalanced labels ...
Researchers at North Carolina State University have developed S-DEIM, a method that reconstructs global sea surface temperatures from sparse observations ...
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© 2026 Scienmag - Science Magazine