Adaptive prediction for effluent quality of wastewater treatment plant: Improvement with a dual-stage attention-based LSTM network
T An, K Feng, P Cheng, R Li, Z Zhao, X Xu… - Journal of Environmental …, 2024 - Elsevier
The accurate effluent prediction plays a crucial role in providing early warning for abnormal
effluent and achieving the adjustment of feedforward control parameters during wastewater …
effluent and achieving the adjustment of feedforward control parameters during wastewater …
The coagulation-precipitation turbidity prediction model for precision drug delivery system based on deep learning and machine vision
S Peng, Y Guo, J Wang, Y Wang, W Zhang… - Journal of …, 2024 - Elsevier
The process effect of coagulation and precipitation is an important factor affecting the quality
and economic cost of wastewater treatment, but it is very difficult to automatically control the …
and economic cost of wastewater treatment, but it is very difficult to automatically control the …
Improved network intrusion classification with attention-assisted bidirectional LSTM and optimized sparse contractive autoencoders
Accurately identifying network intrusion cannot only help individuals and enterprises better
deal with network security problems, but also maintain the Internet environment. This work …
deal with network security problems, but also maintain the Internet environment. This work …
[HTML][HTML] Water quality prediction using LSTM with combined normalizer for efficient water management
Predicting water quality is a significant area of study in the field of smart water technology,
since it may provide valuable assistance in managing and mitigating water pollution. Due to …
since it may provide valuable assistance in managing and mitigating water pollution. Due to …
Water quality prediction in the Yellow River source area based on the DeepTCN-GRU model
Q Tian, W Luo, L Guo - Journal of Water Process Engineering, 2024 - Elsevier
Water quality prediction is critical in water resource management. Accurate water quality
prediction can detect potential water quality issues ahead of time and provides an important …
prediction can detect potential water quality issues ahead of time and provides an important …
Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water-Quality
G Wang, H Chen, S Jiang, H Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Coastal water quality prediction is the indispensable work to prevent the red tide and marine
pollution accidents, which also provides the effective assistance to study ocean carbon sink …
pollution accidents, which also provides the effective assistance to study ocean carbon sink …
Water Quality Assessment Tool for On-site Water Quality Monitoring
Reliable water quality monitoring requires on-site processing and assessment of water
quality data in near real-time. This helps to promptly detect changes in water quality, prevent …
quality data in near real-time. This helps to promptly detect changes in water quality, prevent …