Every animal that has ever been studied closely, from the fruit fly to the philosopher, surrenders each day to a state that ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

While recent national discussions, such as the NSF Artificial Intelligence Scholarship for Service (AI SFS), emphasize ...

Researchers have long suspected that the gut microbiome – the community of bacteria and other microorganisms living in the ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Machine learning (ML) and deep learning (DL) models developed based on medical imaging have enhanced clinicians’ diagnostic accuracy and work efficiency. However, the diagnostic performance of ...

Methodological advances in analyzing complex and high-dimensional datasets Methodological advances in Natural Language Processing, in particular with respect to causal inference. Innovative ...

Abstract: Machine learning approaches are powerful techniques commonly employed for developing cancer prediction models using associated gene expression and mutation data. This manuscript provides a ...