Tag: Machine learning

Researchers have developed a hybrid LSTM–PINN artificial intelligence model that accurately and rapidly predicts the violent impact loads and motion ...

A knowledge–data dual-driven machine learning framework combining deep forest algorithms with orogenic gold mineral system knowledge has improved mineral prospectivity ...

Researchers at Yanshan University have developed a multi-objective multitasking optimization algorithm that uses adaptive knowledge transfer and manifold learning to ...

An interpretable machine learning model trained on 20 years of rural Spanish registry data outperforms logistic regression in predicting 30-day ...

A new study shows that fusing browsing, clicking, carting and purchasing signals into a shared temporal representation space improves recommendation ...

Protein profiles measured in children's blood can encode cardiometabolic risk traits that predict adult disease outcomes decades later.

A new comprehensive review maps the rapid progress of agricultural robotics across harvesting, weeding, precision farming, and livestock management, while ...

A new neural framework called CMCE+BK combines extended candidate events with multi-level background knowledge to dramatically improve the mining of ...

Machine learning models can identify a rat's estrous cycle phase from the electrical properties of single reward-circuit neurons with up ...

A new Science study estimates that rivers delivered about 263,000 tons of microplastics to the ocean in 2022, with extreme ...