Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to lethal ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

Remarkable Achievement by Guwahati Student Huma Abia Kanta, a Class XII student from Royal Global School in Guwahati, Assam, ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, traditional statistical models have struggled to interpret nonlinear, dynamic ...