Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...
Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the ...
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
Introduction Healthcare workers (HCWs) report overwhelming demands and experience crisis levels of burnout and unique challenges that further impair their mental health. Promotion of mental health ...
Abstract: In modern industry, the Industrial Internet of Things (IIoT) has enabled system health analytics and monitoring through continuous data collection and networked connectivity. Bearing ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Abstract: Healthcare datasets, especially those used in cancer diagnosis, often present challenges such as high dimensionality, redundancy, and irrelevant features, which can reduce the performance ...
By a News Reporter-Staff News Editor at Insurance Daily News-- Data detailed on Machine Learning have been presented. The news correspondents obtained a quote from the research from Texas State ...
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