I nternet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions

LM Joshi, RK Bharti, R Singh - Expert Systems, 2022 - Wiley Online Library
Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …

Application of artificial intelligence techniques in municipal solid waste management: a systematic literature review

A Mounadel, H Ech-Cheikh… - Environmental …, 2023 - Taylor & Francis
Municipal solid waste (MSW) management has become a highly challenging issue for many
countries at different levels of development since the growth of population and urbanisation …

Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges

S Vyas, K Dhakar, S Varjani, RR Singhania… - Science of The Total …, 2023 - Elsevier
Many technical, climatic, environmental, biological, financial, educational, and regulatory
factors are typically involved in solid waste management (SWM). Artificial Intelligence …

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 …

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 …

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 …

Varıous Frameworks for IoT-Enabled Intellıgent Waste Management System Usıng ML for Smart Cıtıes

KS Belsare, M Singh - Mobile Computing and Sustainable Informatics …, 2022 - Springer
Urbanization reached severe dimensions as a result of rising population density and rural
flight to cities, posing a massive waste generating problem in cities. Increased garbage …

Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches

K Lin, Y Zhao, JH Kuo, H Deng, F Cui, Z Zhang… - Journal of Cleaner …, 2022 - Elsevier
Increasing generation of municipal solid waste, heterogeneity of waste composition, and
complex processes of waste management and recovery have limited the performance of …

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment

S Mishra, L Jena, HK Tripathy, T Gaber - PloS one, 2022 - journals.plos.org
Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has
merged into the Intelligence of Things concept. This recent trend enables sensors to track …

Application of machine learning algorithms in municipal solid waste management: A mini review

W Xia, Y Jiang, X Chen, R Zhao - Waste Management & …, 2022 - journals.sagepub.com
Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …