Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …

Fish classification is an essential requirement for biomass estimation, disease identification,
and quality analysis. In aquaculture industries, fish classification is carried out in the …

Tuna resources are an important part of China's pelagic fishery production. However, for
China's tuna fishery, tuna species caught at sea are still manually classified, which is a time …

Fish classification (FC) is crucial in various domains, including fishery management and
ecological research. Traditional FC methods rely mainly on morphological criteria such as …

About 50% of world population depend on seafood for the protein content. Because of the
nature resource, illegal fishery in addition with uncultured task is providing threat to marine …

Food scarcity is an issue of concern due to the continued growth of the human population
and the threat of global warming and climate change. Increasing food production is …

Feature extraction is important to obtain information in digital images, where feature
extraction results are used in the classification process. The success of a study to classify …

Computational toxicology is a rapidly growing field that utilizes artificial intelligence (AI) and
machine learning (ML) to predict the toxicity of chemical compounds. Computational …

Indonesia is a maritime country and one of the largest archipelago countries in the world.
Indonesian fisheries have many types of fish in stock, this causes difficulties in introducing …

Tuna are economically important fish species. The automated identification of tuna species
is of importance in fishery production and resource assessment in that it would facilitate the …