In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
A research team led by Professor Kanghyun Nam at the Department of Robotics and Mechanical Engineering, DGIST, has developed ...
Researchers unveiled a “physical AI” system that detects electric vehicle stability loss in real time to improve EV safety.
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
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