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A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia

Municipal solid waste management has become a very active and burgeoning area of research as it's an essential aspect of a more sustainable environment and a circular economy. Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability...

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Main Authors: Nagimeldin, Olla, Ahmad Tajuddin, Husna, Jami, Mohammed Saedi
Format: Proceeding Paper
Language:English
English
Published: 2022
Subjects:
TA170 Environmental engineering. Sustainable engineering
Online Access:http://irep.iium.edu.my/108257/1/OLLA-%20conf-%20GCC.pdf
http://irep.iium.edu.my/108257/16/GCC2022_paper_25.pdf
http://irep.iium.edu.my/108257/
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spelling my.iium.irep.1082572023-11-20T08:21:15Z http://irep.iium.edu.my/108257/ A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia Nagimeldin, Olla Ahmad Tajuddin, Husna Jami, Mohammed Saedi TA170 Environmental engineering. Sustainable engineering Municipal solid waste management has become a very active and burgeoning area of research as it's an essential aspect of a more sustainable environment and a circular economy. Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability to optimize and automate critical solid waste and waste management complications. Additionally, by providing automated model-assisted aid to complex issues surrounding the waste collection and it's chemical/biological characteristics, artificial intelligence, and machine learning applications are anticipated to further optimize resource recovery (reusing, recycling, and extracting energy from waste) and decrease capital expenses. This review examines the applications of AI and ML technologies in various areas of SWM including generation, sorting, collection, vehicle routing, treatment, disposal, and waste management planning in the past 10 years to enhance sustainable waste management practices in Asia. This study has proven that AI-based models have better prediction abilities when compared to conventional methods used in forecasting solid waste generation and recycling. 2022-09-20 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/108257/1/OLLA-%20conf-%20GCC.pdf application/pdf en http://irep.iium.edu.my/108257/16/GCC2022_paper_25.pdf Nagimeldin, Olla and Ahmad Tajuddin, Husna and Jami, Mohammed Saedi (2022) A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia. In: Global Cleanup Congress (GCC) 2022, 20 - 21 September 2022, IIUM.
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TA170 Environmental engineering. Sustainable engineering
spellingShingle TA170 Environmental engineering. Sustainable engineering
Nagimeldin, Olla
Ahmad Tajuddin, Husna
Jami, Mohammed Saedi
A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
description Municipal solid waste management has become a very active and burgeoning area of research as it's an essential aspect of a more sustainable environment and a circular economy. Over the past few years, Machine-learning algorithms and Artificial intelligence models have demonstrated great ability to optimize and automate critical solid waste and waste management complications. Additionally, by providing automated model-assisted aid to complex issues surrounding the waste collection and it's chemical/biological characteristics, artificial intelligence, and machine learning applications are anticipated to further optimize resource recovery (reusing, recycling, and extracting energy from waste) and decrease capital expenses. This review examines the applications of AI and ML technologies in various areas of SWM including generation, sorting, collection, vehicle routing, treatment, disposal, and waste management planning in the past 10 years to enhance sustainable waste management practices in Asia. This study has proven that AI-based models have better prediction abilities when compared to conventional methods used in forecasting solid waste generation and recycling.
format Proceeding Paper
author Nagimeldin, Olla
Ahmad Tajuddin, Husna
Jami, Mohammed Saedi
author_facet Nagimeldin, Olla
Ahmad Tajuddin, Husna
Jami, Mohammed Saedi
author_sort Nagimeldin, Olla
title A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
title_short A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
title_full A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
title_fullStr A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
title_full_unstemmed A review of Artificial Intelligence application of sustainable solid waste management practices in Western Asia
title_sort review of artificial intelligence application of sustainable solid waste management practices in western asia
publishDate 2022
url http://irep.iium.edu.my/108257/1/OLLA-%20conf-%20GCC.pdf
http://irep.iium.edu.my/108257/16/GCC2022_paper_25.pdf
http://irep.iium.edu.my/108257/
_version_ 1783876126446190592
score 13.211869

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