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From Black-Box Prediction to Probabilistic Control: An Explainable Cnn-Shap-Monte Carlo Framework for Low-Carbon Wastewater Treatment

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Improved neural network with least square support vector machine for wastewater treatment process
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Smart energy savings for aeration control in wastewater treatment
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Insights into the application of explainable artificial intelligence for biological wastewater treatment plants: Updates and perspectives
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A review of energy optimization modelling tools for the decarbonisation of wastewater treatment plants
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Enhancing predictive accuracy of wastewater treatment process: An approach via optimizing data collection and increasing operating state diversity
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RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
inferredcites →https://doi.org/10.1016/j.jwpe.2020.101388openalex-snapshot
Modeling of a full-scale sewage treatment plant to predict the nutrient removal efficiency using a long short-term memory (LSTM) neural network
inferredcites →https://doi.org/10.1016/j.jwpe.2023.104145openalex-snapshot
Estimation of prediction intervals for uncertainty assessment of artificial neural network based wastewater treatment plant effluent modeling
inferredcites →https://doi.org/10.1016/j.jwpe.2024.105410openalex-snapshot
An attempt to augment performance of machine learning models in a pilot-scale urban wastewater treatment system
inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-snapshot
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
inferredcites →https://doi.org/10.1016/j.watres.2022.118166openalex-snapshot
Hybrid differential equations: Integrating mechanistic and data-driven techniques for modelling of water systems
inferredcites →https://doi.org/10.1016/j.watres.2023.120667openalex-snapshot
Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability
inferredcites →https://doi.org/10.1016/j.watres.2023.121092openalex-snapshot
A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant
inferredcites →https://doi.org/10.1016/j.watres.2025.123099openalex-snapshot
Integrated real-time intelligent control for wastewater treatment plants: Data-driven modeling for enhanced prediction and regulatory strategies
inferredcites →https://doi.org/10.1016/j.watres.2025.123673openalex-snapshot
Data assimilation for prediction of ammonium in wastewater treatment plant: From physical to data driven models
inferredcites →https://doi.org/10.1016/s0016-0032(96)00063-4openalex-snapshot
The Jensen-Shannon divergence
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Deep learning
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Globally consistent assessment of coastal eutrophication
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Strategy to mitigate substrate inhibition in wastewater treatment systems
inferredcites →https://doi.org/10.1038/s41597-023-02886-6openalex-snapshot
Electricity and natural gas tariffs at United States wastewater treatment plants
inferredcites →https://doi.org/10.1109/iwecai50956.2020.00027openalex-snapshot
LSTM and GRU Neural Network Performance Comparison Study: Taking Yelp Review Dataset as an Example
inferredcites →https://doi.org/10.1109/mwscas.2017.8053243openalex-snapshot
Gate-variants of Gated Recurrent Unit (GRU) neural networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3407197.3407211openalex-snapshot
Long Short-Term Memory Spiking Networks and Their Applications
inferredcites →https://doi.org/10.3390/s22020422openalex-snapshot
Water Quality Indicator Interval Prediction in Wastewater Treatment Process Based on the Improved BES-LSSVM Algorithm
inferredcites →https://doi.org/10.3390/sym15020325openalex-snapshot
Revival of Classical Algorithms: A Bibliometric Study on the Trends of Neural Networks and Genetic Algorithms
inferredcites →https://doi.org/10.3390/w17030310openalex-snapshot
Applying Machine Learning Approach to Design Operational Control Strategies for a Wastewater Treatment Plant in Typical Scenarios
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On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
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A Unified Approach to Interpreting Model Predictions
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