Recent advances in applications of artificial intelligence in solid waste management: A review

I Ihsanullah, G Alam, A Jamal, F Shaik - Chemosphere, 2022 - Elsevier
Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

Artificial intelligence applications in solid waste management: A systematic research review

M Abdallah, MA Talib, S Feroz, Q Nasir, H Abdalla… - Waste Management, 2020 - Elsevier
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …

Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review

L Andeobu, S Wibowo, S Grandhi - Science of The Total Environment, 2022 - Elsevier
Solid waste generation and its impact on human health and the environment have long
been a matter of concern for governments across the world. In recent years, there has been …

The use of modern technology in smart waste management and recycling: artificial intelligence and machine learning

PK Gupta, V Shree, L Hiremath… - Recent advances in …, 2019 - Springer
Waste management is one of the primary problem that the world faces irrespective of the
case of developed or developing country. The key issue in the waste management is that the …

Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review

A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

Artificial intelligence for waste management in smart cities: a review

B Fang, J Yu, Z Chen, AI Osman, M Farghali… - Environmental …, 2023 - Springer
The rising amount of waste generated worldwide is inducing issues of pollution, waste
management, and recycling, calling for new strategies to improve the waste ecosystem, such …

Application of machine learning methods for the prediction of organic solid waste treatment and recycling processes: A review

H Guo, S Wu, Y Tian, J Zhang, H Liu - Bioresource technology, 2021 - Elsevier
Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions

MT Munir, B Li, M Naqvi - Fuel, 2023 - Elsevier
Effective municipal solid waste management is essential for public health, environmental
protection, economic benefits, and clean energy generation for future commercial …

The role of conventional methods and artificial intelligence in the wastewater treatment: a comprehensive review

WAH Altowayti, S Shahir, N Othman, TAE Eisa… - Processes, 2022 - mdpi.com
Water pollution is a severe health concern. Several studies have recently demonstrated the
efficacy of various approaches for treating wastewater from anthropogenic activities …

Technologies and decision support systems to aid solid-waste management: a systematic review

AV de Souza Melaré, SM González, K Faceli… - Waste management, 2017 - Elsevier
Population growth associated with population migration to urban areas and industrial
development have led to a consumption relation that results in environmental, social, and …