A production-ready end-to-end smart waste management system combining YOLO detection, CNN classification, LSTM prediction, Node.js backend, React dashboard, digital twin simulation, IoT integration, ...

Abstract: Waste Printed Circuit Boards (WPCBs) are complex multi-material assemblies that present challenges for automated recycling and Critical Raw Material (CRMs) recovery. Visualization of the ...

AI-Based-Waste-Detection-and-Classification-System Waste classification and management are important for healthier planet Earth. In this paper we are proposing an integrated approach for waste ...

Abstract: This paper introduces an intelligent garbage sorting robot based on K210 and STM32. The system uses the K210 camera to collect the target garbage images, and applies the deep learning ...

Architectures such as neural networks and object detection frameworks (e.g., YOLO-based models) have been employed for feature extraction, localization, and classification of defects in manufacturing ...

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AI agents ship code faster than humans can review it. This has created an accountability gap where vulnerabilities can ship without a clear owner responsible for the outcome. Engineering has always ...