Owing to the rapid increase in construction and demolition (C&D) waste, the information of
waste generation (WG) has been advantageously utilized as a strategy for C&D waste …

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

Owing to a rapid increase in waste, waste management has become essential, for which
waste generation (WG) information has been effectively utilized. Various studies have …

Smart management of construction and demolition (C&D) waste is imperative, and
researchers have implemented machine learning for estimating waste generation. In Korea …

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

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

In South Korea, demolition waste (DW) management has become increasingly significant
owing to the rising number of old buildings. Effective DW management requires an efficient …

Construction and demolition waste accounts for a sizable proportion of global waste and is
harmful to the environment. Its management is therefore a key challenge in the construction …

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 …

Few studies reported using the convolutional neural network with transfer learning to finely
classify the construction and demolition waste. This study aims to develop a highly efficient …