Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
Abstract: Partial discharge (PD) in covered conductors (CCs) indicates the risks of latent faults and significant insulation degradation. Precisely identifying PD patterns is vital for maintaining ...
Abstract: A good nutrition monitoring that involves promoting healthy lifestyle and dietary challenges. In this paper, we propose an AI driven nutrition monitoring system utilizing deep learning, ...
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