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Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

IEEE transactions on industrial electronics (1982), 2014-04, Vol.61 (4), p.1970-1982

2014

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Growing Echo-State Network With Multiple Subreservoirs

IEEE transaction on neural networks and learning systems, 2017-02, Vol.28 (2), p.391-404

2017

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A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

IEEE transactions on fuzzy systems, 2010-12, Vol.18 (6), p.1129-1143

2010

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An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

IEEE transactions on cybernetics, 2017-09, Vol.47 (9), p.2754-2767

2017

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Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process

IEEE transactions on control systems technology, 2013-11, Vol.21 (6), p.2423-2431

2013

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Sparse convolutional model with semantic expression for waste electrical appliances recognition

Science China. Technological sciences, 2024-09, Vol.67 (9), p.2881-2893

2024

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Univariate imputation method for recovering missing data in wastewater treatment process

Chinese journal of chemical engineering, 2023-01, Vol.53 (1), p.201-210

2023

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A fuzzy neural network approach for online fault detection in waste water treatment process

Computers & electrical engineering, 2014-10, Vol.40 (7), p.2216-2226

2014

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Adaptive price adjustment method for used mobile phone based on dual deep fuzzy networks

Science China. Technological sciences, 2022-06, Vol.65 (6), p.1330-1337

2022

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Dynamic multi-objective differential evolution algorithm based on the information of evolution progress

Science China. Technological sciences, 2021-08, Vol.64 (8), p.1676-1689

2021

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Image attention transformer network for indoor 3D object detection

Science China. Technological sciences, 2024-07, Vol.67 (7), p.2176-2190

2024

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Compressible Diagnosis of Membrane Fouling Based on Transfer Entropy

Applied sciences, 2024-09, Vol.14 (18), p.8176

2024

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Dissolved oxygen concentration control in wastewater treatment process based on reinforcement learning

Science China. Technological sciences, 2023-09, Vol.66 (9), p.2549-2560

2023

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Adaptive candidate estimation-assisted multi-objective particle swarm optimization

Science China. Technological sciences, 2022-08, Vol.65 (8), p.1685-1699

2022

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Multivariable identification of membrane fouling based on compacted cascade neural network

Chinese journal of chemical engineering, 2023-01, Vol.53 (1), p.37-45

2023

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Double-cycle weighted imputation method for wastewater treatment process data with multiple missing patterns

Science China. Technological sciences, 2022-12, Vol.65 (12), p.2967-2978

2022

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A data-derived soft-sensor method for monitoring effluent total phosphorus

Chinese journal of chemical engineering, 2017-12, Vol.25 (12), p.1791-1797

2017

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Towards IoT-based sustainable digital communities

Intelligent and converged networks, 2022-06, Vol.3 (2), p.190-203

2022

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Reusable electronic products value prediction based on reinforcement learning

Science China. Technological sciences, 2022-07, Vol.65 (7), p.1578-1586

2022

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Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process

Science China. Technological sciences, 2022-10, Vol.65 (10), p.2420-2428

2022

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Robust optimal control for anaerobic-anoxic-oxic reactors

Science China. Technological sciences, 2021-07, Vol.64 (7), p.1485-1499

2021

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Mobile phone recognition method based on bilinear convolutional neural network

Science China. Technological sciences, 2021-11, Vol.64 (11), p.2477-2484

2021

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Metallic product recognition with dual attention and multi-branch residual blocks-based convolutional neural networks

Circular Economy, 2022-12, Vol.1 (2), p.100014, Article 100014

2022

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Predicting PM2.5 Concentrations at a Regional Background Station Using Second Order Self-Organizing Fuzzy Neural Network

Atmosphere, 2017-01, Vol.8 (1), p.10-10

2017

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Energy consumption model for wastewater treatment process control

Water science and technology, 2013-01, Vol.67 (3), p.667-674

2013

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Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process

Growing Echo-State Network With Multiple Subreservoirs

A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods

Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process

Sparse convolutional model with semantic expression for waste electrical appliances recognition

Univariate imputation method for recovering missing data in wastewater treatment process

A fuzzy neural network approach for online fault detection in waste water treatment process

Adaptive price adjustment method for used mobile phone based on dual deep fuzzy networks

Dynamic multi-objective differential evolution algorithm based on the information of evolution progress

Image attention transformer network for indoor 3D object detection

Compressible Diagnosis of Membrane Fouling Based on Transfer Entropy

Dissolved oxygen concentration control in wastewater treatment process based on reinforcement learning

Adaptive candidate estimation-assisted multi-objective particle swarm optimization

Multivariable identification of membrane fouling based on compacted cascade neural network

Double-cycle weighted imputation method for wastewater treatment process data with multiple missing patterns

A data-derived soft-sensor method for monitoring effluent total phosphorus

Towards IoT-based sustainable digital communities

Reusable electronic products value prediction based on reinforcement learning

Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process

Robust optimal control for anaerobic-anoxic-oxic reactors

Mobile phone recognition method based on bilinear convolutional neural network

Metallic product recognition with dual attention and multi-branch residual blocks-based convolutional neural networks

Predicting PM2.5 Concentrations at a Regional Background Station Using Second Order Self-Organizing Fuzzy Neural Network

Energy consumption model for wastewater treatment process control

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