Comparative Study Between Transfer Learning Models to Detect Shrimp Diseases
Author:
Affiliation:
1. October University for Modern Sciences and Arts (MSA),Faculty of Computer Science
2. Helwan University,HCI-LAB, Faculty of Computers and Artificial Intelligence
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685020/9686076/09686116.pdf?arnumber=9686116
Reference18 articles.
1. Soft-shell Shrimp Recognition Based on an Improved AlexNet for Quality Evaluations
2. Organ identification on shrimp histological images: A comparative study considering CNN and feature engineering
3. The use of machine learning to predict acute hepatopan-creatic necrosis disease (ahpnd) in shrimp farmed on the east coast of the mekong delta of vietnam;khiem;Fisheries Science,2020
4. A Study on Abnormal Behavior Detection of Infected Shrimp
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3. SDNet: Integrated Unsupervised Learning with DLCNN for Shrimp Disease Detection and Classification;2022 IEEE International Conference on Data Science and Information System (ICDSIS);2022-07-29
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