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Smart city article details

Title	Smart Trash Management: Iot And Machine Learning Solutions For Effective E-Waste Management
ID_Doc	51629
Authors	Sharma A.; Swami N.K.; Mittal R.; Hiran K.K.
Year	2024
Published	TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
DOI	http://dx.doi.org/10.1109/TQCEBT59414.2024.10545202
Abstract	Rapid population growth throughout the world has resulted in the improper management of trash in many nations, which has led to a number of health problems and environmental damage. Only once or twice a week are collected by the e-waste collection vehicles. The garbage in the dustbin gets dispersed across the streets as a result of poor waste collection procedures. Suggested solutions are based on IotT and ML in this study to address the problem of smart and effective trash management. The authors' suggested approach makes use of an microcontroller and sensors. The e-waste index of a certain disposal site can be calculated using image processing. For the suggested framework, a hardware prototype is also created. The goal of creating clean, pollution-free cities is thus achieved by the suggested approach for effective e-waste management. © 2024 IEEE.
Author Keywords	bio-fuel; e-waste; IoT; R-CNN; recycling; Smart Cities

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