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 …

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 …

Efficient management of solid waste is essential to lessen its potential health and
environmental impacts. However, the current solid waste management practices encounter …

Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …

Plastic waste and its environmental hazards have been attracting public attention as a
global sustainability issue. This study builds a neural network model to forecast plastic waste …

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 …

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

Construction and demolition waste (DW) generation information has been recognized as a
tool for providing useful information for waste management. Recently, numerous …

Accurate quantification and detailed classification of construction waste are paramount to
improving their management. Over the last decades, various quantification models have …

This paper proposed an original analytical approach to quantify waste generation and
recycling behaviors in Regina, a Canadian capital city, using Google's Community Mobility …