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 …

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 …

[HTML][HTML] Deep learning-based models for environmental management: Recognizing construction, renovation, and demolition waste in-the-wild

D Sirimewan, M Bazli, S Raman, SR Mohandes… - Journal of …, 2024 - Elsevier
The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …

Solid waste management scenario in india and illegal dump detection using deep learning: an AI approach towards the sustainable waste management

S Shahab, M Anjum - Sustainability, 2022 - mdpi.com
The study is presented in four sections. The first section defines the municipal solid waste
and solid waste management system. The second section illustrates the descriptive …

A survey on waste detection and classification using deep learning

H Abdu, MHM Noor - IEEE Access, 2022 - ieeexplore.ieee.org
Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and developing countries. The waste or trash …

Municipal solid waste classification and real-time detection using deep learning methods

N Li, Y Chen - Urban Climate, 2023 - Elsevier
Waste management has become a significant issue in most developing countries. Municipal
solid waste generation has been steadily increasing over the past decade. Recycling is …

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 …

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 …

Hybrid deep learning model for accurate classification of solid waste in the society

H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …

Applications of convolutional neural networks for intelligent waste identification and recycling: A review

TW Wu, H Zhang, W Peng, F Lü, PJ He - Resources, Conservation and …, 2023 - Elsevier
With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …