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Automatic estuarine fish species classification system based on deep learning techniques
Fish classification (FC) is crucial in various domains, including fishery management and
ecological research. Traditional FC methods rely mainly on morphological criteria such as …
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
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
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 …
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; …
caused by molds is on the rise. Diagnostics of those infections can sometimes be inefficient; …