Yard waste prediction from estimated municipal solid waste using the grey theory to achieve a zero-waste strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-19178-y.pdf
Reference94 articles.
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3. Abdulredha M, Al Khaddar R, Jordan D, Kot P, Abdulridha A, Hashim K (2018) Estimating solid waste generation by hospitality industry during major festivals: A quantification model based on multiple regression. Waste Manag 77:388–400. https://doi.org/10.1016/j.wasman.2018.04.025
4. Adamović VM, Antanasijević DZ, Ristić M, Perić-Grujić AA, & Pocajt VV (2017). Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis. In Environmental Science and Pollution Research (Vol. 24, Issue 1, pp. 299–311). https://doi.org/10.1007/s11356-016-7767-x
5. Ali SA, Ahmad A (2019) Forecasting MSW generation using artificial neural network time series model: a study from metropolitan city. SN Appl Sci 1(11):1–16. https://doi.org/10.1007/s42452-019-1382-7
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