Tag: Machine learning

A 24-year satellite and machine learning study shows Bharatpur's heat island is expanding across the city rather than intensifying at ...

Swansea University researchers have developed a hierarchical contrastive learning framework that combines scarce GP-recorded labels with abundant rule-based eGFR labels ...

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 ...