Tag: Machine learning

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 ...

Researchers have combined scanning X-ray scattering and fluorescence with machine learning to map the multi-scale structure of yellow pea seeds ...

Researchers have combined quantum-mechanical simulations, neural networks, and Bayesian statistics to cut the voltage prediction error of a physics-based lithium-ion ...

A rapid review of twelve studies finds that artificial intelligence can sharpen health predictions from weather data, but poor reporting ...