A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...

A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of ...

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.

A new U.S. study reveals who has reliable air conditioning and who doesn’t, exposing deep inequalities in how people ...

Trending Photos In one of the major breakthroughs in the insurance sector, an experiment by a researcher, Chetan Sasidhar Ravi, which was published in the journal ThinkAI by Springer, has come up with ...

In a proud moment for Assam and the entire Northeast, 16-year-old Huma Abia Kanta, a class 12 student of Royal Global School, ...

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 ...

The research highlights that energy–food market connectedness is highly crisis-sensitive, expanding dramatically during ...

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 ...