Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network-Reference-Cited by-同舟云学术

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Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network

Published:2023-01 Issue: Volume:133 Page:109908
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Jassim Majeed S.^ORCID,Coskuner Gulnur,Sultana Nahid,Hossain S.M. Zakir^ORCID

Publisher

Elsevier BV

Subject

Software

Reference55 articles.

1. What Is a Circular Economy? A Framework for an Economy that is Restorative and Regenerative by Design;Ellen MacArthur Foundation,2020

2. Sustainable waste management systems;Seadon;J. Clean. Prod.,2010

3. A review on prediction of municipal solid waste generation models;Kolekar;Procedia Environ. Sci.,2016

4. Understanding Machine Learning: From Theory to Algorithms;Shalev-Shwartz,2014

5. A review on time series data mining;Fu;Eng. Appl. Artif. Intell.,2011

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