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Smart city article details

Title	Waste Generation Prediction In Smart Cities By Using Recurrent Neural Network (Rnn)
ID_Doc	61444
Authors	Al Malawi A.
Year	2024
Published	AIP Conference Proceedings, 3131, 1
DOI	http://dx.doi.org/10.1063/5.0229690
Abstract	One of the most challenging aspects of waste generation collection occurs during working hours. Sensors in smart cities are used to track the actual conditions of waste generation. These sensors assist in the monitoring of bin usage. However, controlling a single bin is impractical and requires many resources. Another approach will be to use historical data to assist decision-makers. Thus, based on historical data, this paper proposes an appropriate and effective method using recurrent neural networks (RNNs) to predict waste generation levels in smart cities. © 2024 American Institute of Physics Inc.. All rights reserved.
Author Keywords	Machine Learning; Recurrent Neural Network (RNN); Sensors; Smart City; Waste Prediction

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