Ai as a driver of efficiency in waste management and resource recovery

LW Ming, J Anderson, F Hidayat… - International …, 2024 - journal.pandawan.id
Effective waste management and resource recovery are essential for maintaining
environmental sustainability. With the increasing volume of waste generated from industrial …

AI-driven waste management systems: a comparative review of innovations in the USA and Africa

ZQS Nwokediegwu, ED Ugwuanyi, MA Dada… - Engineering Science & …, 2024 - fepbl.com
The burgeoning challenges of waste management have propelled the integration of artificial
intelligence (AI) into waste management systems, aiming to enhance efficiency …

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 …

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 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 …

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 …

Enhancing waste-to-energy conversion efficiency and sustainability through advanced artificial intelligence integration

V Melinda, T Williams, J Anderson… - International …, 2024 - journal.pandawan.id
Artificial intelligence (AI) has emerged as a pivotal tool in optimizing waste-to-energy
conversion technology, addressing critical environmental issues while promoting …

Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges

A Namoun, A Tufail, MY Khan, A Alrehaili, TA Syed… - Sustainability, 2022 - mdpi.com
We present a survey of machine learning works that attempt to organize the process flow of
waste management in smart cities. Unlike past reviews, we focused on the waste generation …

Applying machine learning approach in recycling

M Erkinay Ozdemir, Z Ali, B Subeshan… - Journal of Material …, 2021 - Springer
Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …

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 …