Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction-Reference-Cited by-同舟云学术

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Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction

Published:2024-03 Issue: Volume:344 Page:123386
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Hoy Zheng Xuan^ORCID,Phuang Zhen Xin,Farooque Aitazaz Ahsan,Fan Yee Van,Woon Kok Sin^ORCID

Publisher

Elsevier BV

Reference90 articles.

1. Forecasting municipal solid waste generation using artificial intelligence modeling approaches;Abbasi;Waste Management,2016

2. Artificial intelligence applications in solid waste management: a systematic research review;Abdallah;Waste Management,2020

3. State-of-the-art in artificial neural network applications: a survey;Abiodun;Heliyon,2018

4. Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill;Abunama;Environ. Sci. Pollut. Control Ser.,2019

5. Prediction of municipal solid waste generation using artificial neural network approach enhanced by structural break analysis;Adamovic;Environ. Sci. Pollut. Control Ser.,2017

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