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 ...
IEEE

A Review of Underwater Target Recognition Based on Deep Learning Models

Abstract: Underwater detection technology is widely used in ocean exploration nowadays, but it has some problems such as noisy detection signals, difficult feature extraction and complicated ...