Automatic estuarine fish species classification system based on deep learning techniques

H Tejaswini, MMM Pai, RM Pai - IEEE Access, 2024 - ieeexplore.ieee.org
Fish classification (FC) is crucial in various domains, including fishery management and
ecological research. Traditional FC methods rely mainly on morphological criteria such as …

Imagelytics suite: deep learning-powered image classification for bioassessment in desktop and web environments

A Milosavljević, B Predić… - Logic Journal of the IGPL, 2024 - academic.oup.com
Bioassessment is the process of using living organisms to assess the ecological health of a
particular ecosystem. It typically relies on identifying specific organisms that are sensitive to …

[PDF][PDF] Underwater species classification using deep learning technique

DL Manikandan, SM Santhanam - Romanian Journal of …, 2024 - researchgate.net
Automated recognition and classification of aquatic species (fish, shrimp etc.) are very useful
for studies dealing with the count of species for population evaluation, fish behaviour …

Species identification for aquatic biomonitoring using deep residual cnn and transfer learning

A Milosavljević, Đ Milošević… - … Series: Automatic Control …, 2021 - casopisi.junis.ni.ac.rs
Aquatic insects and other benthic macroinvertebrates are mostly used as bioindicators of the
ecological status of freshwaters. However, an expensive and time-consuming process of …

Tuna classification using colour, structure, wavelet, and fuzzy based textural features

JA Jose, CS Kumar… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Tuna is one among the popular commercial fishes and forms a major proportion of world
fishery products. Separation of these fishes into different species is important to export raw …

Imagelytics: A Deep Learning-Based Image Classification Tool to Support Bioassessment

A Milosavljević, B Predić, D Milošević - International Symposium on …, 2023 - Springer
Bioassessment is the process of using living organisms to assess the ecological health of a
particular ecosystem. It typically relies on identifying specific organisms that are sensitive to …

[PDF][PDF] Visualization of microscopic morphological characteristics used for determination of infectious molds

M Milanovic, A Milosavljevic, M Randjelovic - Proceedings of the 65th …, 2021 - etran.rs
Invasive fungal infections (IFI) and systemic fungal infections (SFI), caused by molds are on
the rise, based on data from literature. Diagnostics of those infections can sometimes be …

[PDF][PDF] Research Progress of Artificial Intelligence in Intelligent Fisheries Breeding in Prediction and Health Management Systems

D Yang, X Chen, X Sun, G Tan - 2024 - preprints.org
The research in this review emphasizes the crucial importance of integrating artificial
intelligence (AI) into aquaculture to improve efficiency, sustainability, and fish health …

Separation of Commercially Important Tuna from Other Fishes Using Feature Descriptor and Pre-trained CNN Models

S Sureshkumar, CS Kumar, JA Jose - European Journal of Nutrition …, 2021 - go7publish.com
Aims/Objectives: Identification of fish species is essential in export industries. Among the
different fish species exported, tuna forms a significant portion and hence the separation of …

[PDF][PDF] Determination of molds isolated from the patient materials, based on their microscopic morphological characteristics

M Milanović, A Milosavljević - 2021 - eventiotic.com
Based on literature data in recent years the incidence of invasive fungal infection (IFI)
caused by molds is on the rise. Diagnostics of those infections can sometimes be inefficient; …