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Title	Varıous Frameworks For Iot-Enabled Intellıgent Waste Management System Usıng Ml For Smart Cıtıes
ID_Doc	60869
Authors	Belsare K.S.; Singh M.
Year	2022
Published	Lecture Notes on Data Engineering and Communications Technologies, 126
DOI	http://dx.doi.org/10.1007/978-981-19-2069-1_55
Abstract	Urbanization reached severe dimensions as a result of rising population density and rural flight to cities, posing a massive waste generating problem in cities. Increased garbage creation has long been seen as a serious burden for large metropolitan centers across the world, and it is a vital issue for nations experiencing rapid urbanization. The Internet of Things (IoT) and machine learning (ML) offer an automotive possibility through cyber-bodily systems, which revolutionized solid waste management. This study conducts a comprehensive analysis of different framework for waste management models available in the existing works based on infrastructure of IoT for effective treatment of trash generated in municipal situations, taking into account IoT needs. The relationship between concessionaires and trash generators (citizens) is being studied in order to minimize collection time and costs while also promoting citizenship. The objective of this paper is to emphasize about the most important methods and categorize outstanding research challenges on the topic by describing an IoT-based reference model and analyzing the available solutions. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Image processing; Internet of Things; Machine learning; Smart cities; Waste classification; Waste disposal management; Wireless sensor network

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