This research presents an explainable system for detecting defects in production lines using only a few sample images. It combines advanced machine learning techniques with visual explanations to quickly identify defects, helping manufacturers improve quality control with minimal training data and greater transparency in decision-making.
Security and cryptocurrency wallet use are still at the center of the issues with blockchain adoption. Seed phrase-based physical wallets…
The existing traditional e-commerce systems struggle to focus the user query to give a relevant product recommendation at the end…
“The wristGuard application employs a hybrid approach, combining deep learning models for feature extraction and stacking ensemble method for classification…
“The COVID-19 epidemic changed IT industry processes by hastening the introduction of remote work. In virtual workplaces, detecting employee engagement…
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