Abstract: Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the ...

Abstract: Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted ...

5 Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, Bonn, Germany 6 Institute of Experimental and Clinical Pharmacology and Toxicology, ...

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...

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Imagine navigating a sprawling subway system or a dark tunnel where Global Navigation Satellite System (GNSS) signals cannot reach. For decades, this has been a technological blind spot. Researchers ...

Acute illnesses are leading causes of death among children under-five, who often receive antibiotics unnecessarily, contributing to antimicrobial resistance. Pulse oximetry and digital Clinical ...

Although premature ventricular beats (PVBs) in young people and athletes are usually benign, they may rarely mark underlying heart disease and risk of sudden cardiac death during sport. This review ...

Freed from intelligibility and aesthetics, AI designs faster ...

Imagine navigating a sprawling subway system or a dark tunnel where Global Navigation Satellite System (GNSS) signals cannot reach. For decades, this ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...