Tag: Machine learning

A rigorous evaluation of 126 machine learning pipelines on data from more than 3,000 Golden Retrievers shows that routine laboratory ...

Researchers fused morphometric basin analysis with machine learning to map flood susceptibility across four Bayelsa State catchments, revealing hidden high-risk ...

Researchers combined machine learning and deep learning with multiple molecular fingerprints to build predictive models that identified two promising topoisomerase ...

A new Composite Degradation Index combining biomass trends and landscape fragmentation reveals that coniferous, broad-leaved, and mixed forests on the ...

A multi-level stacking ensemble of five machine learning models mapped porphyry copper-gold prospectivity in northwest Iran with an AUC of ...

Researchers have developed a time-frequency gated transformer that reconstructs the full dynamic response of structures from sparse vibration sensor data, ...

A new robust learning framework from Zhejiang University addresses identity misalignment in unsupervised visible-infrared person re-identification, improving cross-modality retrieval under ...

A comprehensive review finds that diffuse reflectance spectroscopy can reliably predict many soil fertility properties within seconds, but transferability, chromophore ...

A large evaluation of the Bethesda v3 DNA methylation classifier shows robust performance in routine brain tumor diagnostics, correctly classifying ...

A new data-fusion study over Taiwan shows that gridded ionospheric TEC provides modest complementary information for retrospective earthquake maximum-magnitude estimation, ...