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 …

Plastic pollution in water bodies is an unresolved environmental issue that damages all
aquatic environments, and causes economic and health problems. Accurate detection of …

Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …

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 …

Plastic pollution in coastal and marine areas is an ongoing environmental concern in the
world. Despite its growing concern worldwide, there is a knowledge gap in terms of its …

Aerial and underwater imaging is being widely used for monitoring litter objects found at the
sea surface, beaches and seafloor. However, litter monitoring requires a considerable …

Given the large volume of remote sensing images collected daily, automatic object detection
and segmentation have been a consistent need in Earth observation (EO). However, objects …

The YOLOv4 neural network is employed for underwater target recognition. To improve the
accuracy and speed of recognition, the structure of YOLOv4 is modified by replacing the …

Animal movement studies are conducted to monitor ecosystem health, understand
ecological dynamics, and address management and conservation questions. In marine …

Marine debris impacts negatively upon the marine environment and the survival of marine
life because they are some difficult-to-degrade substances, and most of them will sink into …