The growing environmental concerns have emerged the necessity of sustainable waste
management of construction and demolition (C&D) wastes. This review explores the …

Improper sorting of construction and demolition waste (CDW) leads to significant
environmental and economic implications, including inefficient resource use and missed …

Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …

The burgeoning challenges of waste management have propelled the integration of artificial
intelligence (AI) into waste management systems, aiming to enhance efficiency …

The construction industry generates a substantial volume of solid waste, often destinated for
landfills, causing significant environmental pollution. Waste recycling is decisive in …

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 …

The management of Construction and Demolition Waste (C&DW) is complex and adds
significantly to the overall life cycle cost of projects. On site waste sorting using technologies …

Construction waste sorting (CWS) is highly recommended as a key step for construction
waste management. However, current CWS involves humans' manual hand-picking, which …

Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

This study proposes a multilayer hybrid deep‐learning system (MHS) to automatically sort
waste disposed of by individuals in the urban public area. This system deploys a high …