Abstract: This work aims to develop an effective flower classification approach using machine learning algorithms. Eight flower categories were analyzed in order to extract their features. Scale ...

Abstract: Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve ...

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

The study of dental microwear allows the analysis of the microscopic marks that foods leave on the surface of tooth enamel ...

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

The draft framework requires regulated entities to establish board-approved model risk management systems covering all models ...