Electronic waste is presently acknowledged as the rapidly expanding waste stream on a
global scale. Consequently, e-waste represents a primary global concern in modern society …

Currently in Ethiopia, pollution and environmental damage brought on by waste increased
along with industrialization, urbanization, and global population levels. Waste sorting, which …

In recent years, object detection has gained significant interest and is considered a
challenging problem in computer vision. Object detection is mainly employed for several …

Waste management is one of the challenges facing countries globally, leading to the need
for innovative ways to design and operationalize smart waste bins for effective waste …

As urbanization accelerates, solid waste management has become one of the key issues in
urban governance. Accurate and efficient waste sorting is a crucial step in enhancing waste …

Abstract Whether Waste Electrical and Electronic Equipment (WEEE) can be effectively
sorted and recycled will affect the sustainable development of human society. However …

A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …

An object detection method based on an improved YOLOv5 model was proposed to
enhance the accuracy of sorting construction waste. A construction waste image sample set …

Smart cities essentially combine the use of Information and communications technology
(ICT) to provide services for better living conditions inside. The recent developments in the …

Waste sorting is highly labor intensive because the wide variety of waste items prohibits
automation. More recently, deep learning (DL) and computer vision technology has …