Classification of Freshwater Fish Diseases in Bangladesh Using a Novel Ensemble Deep Learning Model: Enhancing Accuracy and Interpretability-Reference-Cited by-同舟云学术

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Classification of Freshwater Fish Diseases in Bangladesh Using a Novel Ensemble Deep Learning Model: Enhancing Accuracy and Interpretability

Published:2024 Issue: Volume:12 Page:96411-96435
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Maruf Abdullah Al¹^ORCID,Fahim Sinhad Hossain²^ORCID,Bashar Rumaisha³,Rumy Rownuk Ara²,Chowdhury Shaharior Islam¹,Aung Zeyar⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh

2. Department of Computer Science and Engineering, Stamford University Bangladesh, Dhaka, Bangladesh

3. Department of Computer Science and Engineering, International Islamic University Chittagong, Chittagong, Bangladesh

4. Center for Secure Cyber-Physical Systems (C2PS), Khalifa University, Abu Dhabi, United Arab Emirates

Funder

halifa University, Abu Dhabi, United Arab Emirates

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10591980.pdf?arnumber=10591980

Reference62 articles.

1. Global aquaculture and its role in sustainable development

2. A CNN-OSELM Multi-Layer Fusion Network With Attention Mechanism for Fish Disease Recognition in Aquaculture

3. Fish diseases and strategies taken by the farmers in freshwater aquaculture at southwestern Bangladesh

4. Fish Disease Detection System: A Case Study of Freshwater Fishes of Bangladesh

5. Advanced Techniques for the Intelligent Diagnosis of Fish Diseases: A Review

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