Recently, artificial intelligence (AI) technologies have been employed to predict construction
and demolition (C&D) waste generation. However, most studies have used machine …

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

The purpose of this study is to propose a classification method for building demolition waste
(DW) that is different from existing studies and to develop a demolition waste generation rate …

Abstract Information on waste generation rate (WGR) is useful for waste management.
Recently, several studies have been conducted to predict WGR using artificial intelligence …

The application of machine learning contributes to intelligent and efficient management of
construction and demolition waste, leading to a reduction in waste generation and an …

Accurate forecasting of construction and demolition waste (CDW) generation could provide
valuable information for the planning, design, and management of CDW at municipal levels …

Construction and demolition waste (C&DW) is currently a worldwide issue, and the situation
is the worst in China due to a rapid increase in the construction industry and the short life …

An essential requirement for a successful circular economy is the continuous use of
materials. Planning for building materials reuse at the end-of-life of buildings is usually a …

Research interests in addressing construction and demolition (C&D) waste management
issues have resulted in a large amount of publications during the last decade. This study …

Along with the rapid growth in construction industry, quantity of construction and demolition
(C&D) waste has increased significantly in recent decades. Demolition waste (DW) is …