Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm

Research article (2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA), 2022) · cited 31× · AI/ML
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Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm

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Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/feasibility-study-of-fish-disease-detection-using-computer-vision-and-deep-convolutional-neural-network-dcnn-algorithm
MLA “Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feasibility-study-of-fish-disease-detection-using-computer-vision-and-deep-convolutional-neural-network-dcnn-algorithm.
BibTeX @misc{4ortxyz_feasibility-study-of-fish-disease-detection-using-computer-vision-and-deep-convolutional-neural-network-dcnn-algorithm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/feasibility-study-of-fish-disease-detection-using-computer-vision-and-deep-convolutional-neural-network-dcnn-algorithm}, note = {Accessed: 2026-05-24}}
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