A deep learning model can identify hospitalized patients at risk for hypoglycemia within 24 hours, according to a study published online June 11 in npj Digital ...
A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
NIMHANS launches India's first public sleep database for stroke patients, enhancing research on sleep disorders and ...
Researchers have developed an AI model that predicts low blood sugar events up to 24 hours in advance, giving care teams time ...
Can a two-wheeler tell when a rider is losing balance? A machine learning system detects the difference and provides support ...
Aerospace and Mechanical Insider on MSN
Landmark-driven DRL boosts mobile robot navigation
Mobile robots are increasingly deployed in applications ranging from household cleaning to hazardous industrial inspection, where autonomous navigation through complex, dynamic environments is ...
In a significant advancement for smart agriculture and precision farming, researchers at Chandigarh University have developed an Artificial Intelligence (AI)-powered Transformer Model that is capable ...
Abstract: To achieve accurate prediction of the short-term highly dynamic bistatic ground-air-ground channel between ground stations and aerospace targets under high-speed mobility, this letter ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results