As screening and early treatment for type 1 diabetes become more widespread, the European action for the Diagnosis of Early ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

In 2023, a multinational consortium of liver experts introduced a revised nomenclature for steatotic liver disease.1 Steatotic liver disease was divided into metabolic dysfunction-associated steatotic ...

Abstract: Hyperspectral images (HSIs) are rich in spectral information and are widely used in the field of land-cover classification. However, existing deep learning methods ignore the combination of ...

ServiceNow’s latest iteration of its platform, “Zurich”, focuses on embedding agentic AI to enhance security, development, ...

Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...

Hycroft Mining Holding ( ($HYMC) ) has issued an announcement. On September 9, 2025, Hycroft Mining Holding Corporation announced the results of ...

With the advent of the era of big data and artificial intelligence (AI), scientific research in geoscience has entered the fourth research ...

Coal India Limited is considering the establishment of data centres in its decommissioned mines to enhance digital ...