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: The manufacturing quality of printed circuit boards (PCBs) significantly influences the functionality and life expectancy of electronic devices. This paper introduces a YOLO-WWBi based on ...
Abstract: Automated welding defect detection has emerged as a pivotal aspect of quality assurance in high-stakes industries such as aerospace, oil and gas, and construction. This paper presents a ...
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