Hybrid deep learning framework for real-time DO prediction in aquaculture.
Xu L, Liu W, Chengqing C, Liu T, Gao X, Sohel F, Hasan M, Ghorbanpour M, Hassan SG, Liu S.
Xu L, et al.
Sci Rep. 2025 Jul 9;15(1):24643. doi: 10.1038/s41598-025-10786-5.
Sci Rep. 2025.
PMID: 40634584
Free PMC article.
The proposed CNN-SA-BiSRU achieved MSE, MAE, RMSE, and R(2) of 0.0022, 0.0341, 0.0471, and 0.9765, respectively. The results of the experiments showed that the proposed model had a high level of accuracy in estimating the outcomes with minimal fluctuations in estimation er …
The proposed CNN-SA-BiSRU achieved MSE, MAE, RMSE, and R(2) of 0.0022, 0.0341, 0.0471, and 0.9765, respectively. The results of the e …