Hybrid deep learning framework for real-time DO prediction in aquaculture

Hybrid deep learning framework for real-time DO prediction in aquaculture

Abstract Dissolved oxygen (DO) is a vital parameter in regulating water quality and sustaining the health of aquatic organisms in aquaculture environments. Therefore, estimation and control of DO levels are essential in aquaculture operations. However, traditional chemical and photochemical approach...

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Bibliographic Details
Main Authors: Longqin Xu, Wenjun Liu, Cai Chengqing, Tonglai Liu, Xuekai Gao, Ferdous Sohel, Murtaza Hasan, Mansour Ghorbanpour, Shahbaz Gul Hassan, Shuangyin Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Non-linear
CNN
BiSRU
Self-Attention mechanism
Online Access:https://doi.org/10.1038/s41598-025-10786-5
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https://doi.org/10.1038/s41598-025-10786-5

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