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 …

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

Waste pollution is one of the most significant environmental issues in the modern world. The
importance of recycling is well known, both for economic and ecological reasons, and the …

Marine debris is severely threatening the marine lives and causing sustained pollution to the
whole ecosystem. To prevent the wastes from getting into the ocean, it is helpful to clean up …

Waste or trash management is receiving increased attention for intelligent and sustainable
development, particularly in developed and developing countries. The waste or trash …

Pollution in the form of litter in the natural environment is one of the great challenges of our
times. Automated litter detection can help assess waste occurrences in the environment …

To achieve recycling of mixed industrial waste toward an advanced sustainable society,
waste sorting automation through robots is crucial and urgent. For this purpose, a robot is …

The rapid advancement of deep learning technology has led to the presentation of various
network architectures for classification, making it easier to implement intelligent waste …

The great advances produced in the field of artificial intelligence and, more specifically, in
deep learning allow us to classify images automatically with a great margin of reliability. This …

Recycling resources from waste can effectively alleviate the threat of global resource strain.
Due to the wide variety of waste, relying on manual classification of waste and recycling …