Fish are key members of marine ecosystems, and they have a significant share in the
healthy human diet. Besides, fish abundance is an excellent indicator of water quality, as …

Monitoring the morphological traits of farmed fish is pivotal in understanding growth,
estimating yield, artificial breeding, and population-based investigations. Currently …

Tracking fish movements and sizes of fish is crucial to understanding their ecology and
behaviour. Knowing where fish migrate, how they interact with their environment, and how …

In practical fuzzy applications, such as image processing, the utilization of precise models in
hardware may not be the most efficient approach due to increased energy consumption and …

Fish phenoty** serves as a cornerstone for refined management and sustainable
development in industrialized aquaculture. High-precision instance segmentation for high …

The application of deep-learning technology for marine fishery resource investigation is still
in its infancy stage. In this study, we applied YOLOv5 and YOLOv8 methods to identify and …

In demersal trawl fisheries, the unavailability of the catch information until the end of the
catching process is a drawback, leading to seabed impacts, bycatches and reducing the …

Photographic identification (photo ID) is an established method that is used to count animals
and track individuals' movements. This method performs well with some species of …

This paper introduces a new method for the region segmentation of images. The approach is
based on the raster-scan paradigm and builds the segments incrementally. The pixels are …

Transformer-based models, such as the Vision Transformer (ViT), can outperform
onvolutional Neural Networks (CNNs) in some vision tasks when there is sufficient training …