
Ecograde: Leveraging Convolutional Neural Networks And Multi-Criteria Decision Analysis For Real-Time Detection And Quality Assessment Of Non-Biodegradable Waste Materials
EcoGrade is an intelligent waste assessment system that combines deep learning and decision analysis to improve recycling efficiency. It uses a YOLOv11-based convolutional neural network integrated with Multi-Criteria Decision Analysis (MCDA) to detect, classify, and evaluate the quality of non-biodegradable waste such as plastics and tin cans.
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