The basic idea of BI-SRU is to stack a forward and a backward SRU in each training sequence, and the two SRU are connected to an output layer. This structure ...
Dec 9, 2024 · We propose a novel water quality prediction model for pH, water temperature and dissolved oxygen, namely Double-Attention-Based Bidirectional ...
Sep 1, 2022 · The experimental results show that our DA-Bi-SRU model has higher prediction accuracy than the methods based on RNN (Recurrent Neural Network), ...
Agric. Eng. Liu, Accurate prediction scheme of water quality in smart mariculture with deep bi-s-SRU learning network, IEEE Access, № 8, ...
Feb 10, 2020 · This scheme uses the pre-processed data and correlation priors to train a. Bi-S-SRU model to obtain a prediction model. The pre- diction model ...
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Feb 20, 2020 · In the smart mariculture, the timely and accurate predictions of water quality can help farmers take countermeasures before the ecological ...
Using this system the real time quality of water bodies can be determined and the data uploaded over the Internet are analyzed. Keywords : water monitoring ...
This is the dataset of paper "DA-Bi-SRU for Water Quality Prediction in Smart Mariculture". The experimental data contains four parts. The instructions are as ...
Accurate Prediction Scheme of Water Quality in Smart Mariculture With Deep Bi-S-SRU Learning Network · 57 Citations · 35 References.
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We use six different neural network models, including RNN, SRU, BI-SRU, LSTM, GRU and TCN, to compare the changing trends and values of water quality parameters ...
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