Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

AI algorithms have demonstrated a sensitivity of approximately 91% in detecting early dental caries, compared to 84% for ...

Engineers at Toshiba and MIRISE report embedding a quantum-inspired optimization system directly onto a mobile robot, ...

Abstract: Reversible data hiding in encrypted image (RDHEI) is a powerful security technology that aims to hide data into the encrypted image without any distortions of data extraction and image ...

Abstract: Network virtualization is the development trend and inevitable requirement of hybrid wireless sensor networks (HWSNs). Low mapping efficiency and service interruption caused by mobility ...

On Thursday, Oct. 16, Dr. Safiya U. Noble delivered a presentation titled “AI and Our Future: How AI and Search Engine Algorithms Reinforce Oppression.” Before the presentation, I knew two true things ...

For more than a decade, social platforms have faced criticism for embedding algorithms that fuel compulsive behaviors, encourage doomscrolling, and measure success by time spent glued to screens.

MNEs are increasingly using algorithmic tools in TP. Sahasranshu Dash argues that data ethics should therefore plug directly into the TP design process As transfer pricing practices evolve, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the application of quantum computing to metal cluster analysis ...