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 …
management, and recycling, calling for new strategies to improve the waste ecosystem, such …
Artificial intelligence applications in solid waste management: A systematic research review
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …
environmental, demographic, socio-economic, and legislative parameters. Such complex …
Analysis of input set characteristics and variances on k-fold cross validation for a Recurrent Neural Network model on waste disposal rate estimation
The use of machine learning techniques in waste management studies is increasingly
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
popular. Recent literature suggests k-fold cross validation may reduce input dataset partition …
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 …
municipal solid waste production, and researchers have sought to use advanced technology …
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 …
environmental areas because of their great self-learning capability and good accuracy in …
Tackling environmental challenges in pollution controls using artificial intelligence: A review
This review presents the developments in artificial intelligence technologies for
environmental pollution controls. A number of AI approaches, which start with the reliable …
environmental pollution controls. A number of AI approaches, which start with the reliable …
Estimating construction waste generation in the Greater Bay Area, China using machine learning
Reliable construction waste generation data is a prerequisite for any evidence-based waste
management effort, but such data remains scarce in many developing economies owing to …
management effort, but such data remains scarce in many developing economies owing to …
Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam
The main aim of this work was to compare six machine learning (ML)-based models to
predict the municipal solid waste (MSW) generation from selected residential areas of …
predict the municipal solid waste (MSW) generation from selected residential areas of …
[HTML][HTML] Data-driven urban management: Mapping the landscape
Big data analytics and artificial intelligence, paired with blockchain technology, the Internet
of Things, and other emerging technologies, are poised to revolutionise urban management …
of Things, and other emerging technologies, are poised to revolutionise urban management …
Leveraging digital technologies for circular economy in construction industry: a way forward
Purpose This study aims to investigate the literature related to the use of digital technologies
for promoting circular economy (CE) in the construction industry. Design/methodology …
for promoting circular economy (CE) in the construction industry. Design/methodology …