An Enhanced Machine Learning Technique with a Hybrid Metaheuristic Algorithm to Identify the Fish Disease-Reference-Cited by-同舟云学术

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An Enhanced Machine Learning Technique with a Hybrid Metaheuristic Algorithm to Identify the Fish Disease

Published:2023-06-02 Issue:3 Volume:131 Page:1529-1549
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Jhansi G.,Sujatha K.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s11277-023-10512-2.pdf

Reference23 articles.

1. Mia, M. J., Mahmud, R. B., Sadad, M. S., Al Asad, H., & Hossain, R. (2022). An in-depth automated approach for fish disease recognition. Journal of King Saud University-Computer and Information Sciences, 34(9), 7174–7183.

2. Ahmed, M. S., Aurpa, T. T., & Azad, M. A. K. (2022). Fish disease detection using image-based machine learning technique in aquaculture. Journal of King Saud University-Computer and Information Sciences, 34(8), 5170–5182.

3. Li, X., Hao, Y., Akhter, M., & Li, D. (2022). A novel automatic detection method for abnormal behavior of single fish using image fusion. Computers and Electronics in Agriculture, 203, 107435.

4. Wang, H., Zhang, S., Zhao, S., Wang, Q., Li, D., & Zhao, R. (2022). Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++. Computers and Electronics in Agriculture, 192, 106512.

5. Luo, X., Tian, Z., Chen, C., Jiang, G., Hu, X., Wang, L., Peng, R., Zhang, H., & Zhong, M. (2022). Laser-textured High-throughput hydrophobic/superhydrophobic SERS platform for fish drugs residue detection. Optics & Laser Technology, 152, 108075.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FishNet Freshwater Fish Disease Detection using Deep Learning Techniques;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02

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