The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While machine learning ...

A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...

UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...

Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...

Abstract: The widespread adoption of encryption in computer networks has made detecting malicious traffic, especially at network perimeters, increasingly challenging. As packet contents are concealed, ...

1 Department of Economics, Texas A&M University, College Station, TX, USA. 2 School of Business, Wake Forest University, Winston-Salem, NC, USA. 3 School of Business, University of Wisconsin-Madison, ...

Alzheimer's Disease (AD), a progressive neurodegenerative condition of cognitive decline, presents formidable challenges to patients, caregivers, and healthcare systems. Early identification is ...

1 School of Technology, Computer Science & I.T Department, Njala University, Bo, Sierra Leone. 2 School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China. 3 School of Software ...