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Title	Blockchain Based Solid Waste Classification With Ai Powered Tracking And Iot Integration
ID_Doc	12423
Authors	Alabdali A.M.
Year	2025
Published	Scientific Reports, 15, 1
DOI	http://dx.doi.org/10.1038/s41598-025-97030-2
Abstract	Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification. © The Author(s) 2025.
Author Keywords	Artificial intelligent; Internet of things; Smart applications; Smart waste management

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