With the implementations of “Zero Waste” and Industry 4.0, the rapidly increasing
applications of artificial intelligence in waste management have generated a large amount of …

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

Due to industrialization and economic development, urban expansion in St. Petersburg
(Russia) has swelled its solid waste generation. The current waste management system …

The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Garbage classification technology is not only an important basis for the harmless treatment
of waste and resource recovery, but also the inevitable trend of social development. The …

Population growth and the acceleration of urbanization have led to a sharp increase in
municipal solid waste production, and researchers have sought to use advanced technology …

The rapid economic and social development has led to a rapid increase in the output of
domestic waste. How to realize waste classification through intelligent methods has become …

Digital technologies hold enormous potential for improving the performance of future-
generation sorting and processing plants; however, this potential remains largely untapped …

Timely and accurate recognition of construction waste (CW) composition can provide
yardstick information for its subsequent management (eg, segregation, determining proper …

Recycling e-waste makes for eliminating the pollution to environment and recovering critical
materials as one of resource. Printed circuit boards (PCBs) serve as the important part in all …