Adaptive critic control design with knowledge transfer for wastewater treatment applications
D Wang, X Li, M Zhao, J Qiao - IEEE Transactions on industrial …, 2023 - ieeexplore.ieee.org
The wastewater treatment process (WWTP) is of great significance to environmental
protection. To improve the efficiency of the WWTP, it is crucial to ensure that the dissolved …
protection. To improve the efficiency of the WWTP, it is crucial to ensure that the dissolved …
Pilot-scale implementation of mainstream anammox for municipal wastewater treatment against cold temperature
Q Zhao, Y Peng, J Li, T Jia, Q Zhang… - Nature Communications, 2024 - nature.com
Applying anammox to municipal wastewater treatment promises enormous energy and
resource savings; however, seasonally cold conditions pose a considerable challenge …
resource savings; however, seasonally cold conditions pose a considerable challenge …
XRL-FlexSBR: Multi-agent reinforcement learning-driven flexible SBR control with explainable performance guarantee under diverse influent conditions
The sequencing batch reactor (SBR) process stands out for its small footprint and
operational flexibility. However, the SBR process is highly nonlinear and subject to influent …
operational flexibility. However, the SBR process is highly nonlinear and subject to influent …
A smart PLC-SCADA framework for monitoring petroleum products terminals in industry 4.0 via machine learning
The paper introduces a Programmable Logic Controller (PLC)/Human Machine Interface
(HMI) system incorporated along with machine learning (ML) classifiers. Although some …
(HMI) system incorporated along with machine learning (ML) classifiers. Although some …
Robust optimal control for wastewater treatment process with uncertain time delays
H Han, J Zhang, Y Hou, J Qiao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
To achieve the excellent operational performance of the wastewater treatment process,
optimal control has been considered a reliable method. However, there is a time-delay …
optimal control has been considered a reliable method. However, there is a time-delay …
Combined machine learning and biomolecular analysis for stability assessment of anaerobic ammonium oxidation under salt stress
In this study, the stability of the total nitrogen removal efficiency (TNRE) was modeled using
an artificial neural network (ANN)-based binary classification model for the anaerobic …
an artificial neural network (ANN)-based binary classification model for the anaerobic …
[HTML][HTML] Characterization of segregated greywater from rural Indian households: An instrumental case study
Over the past few decades, greywater has gained attention on a global scale as a practical
alternative water supply. Greywater reuse and recycling is a financially sound and appealing …
alternative water supply. Greywater reuse and recycling is a financially sound and appealing …
Ingredient analysis of biological wastewater using hybrid multi-stream deep learning framework
Wastewater treatment and control have received considerable attention. Accurate analyses
of ingredients can assist subsequent purification and relevant chemical controls. However …
of ingredients can assist subsequent purification and relevant chemical controls. However …
T-RFLP biomolecular indicator for partial nitritation under saline conditions and machine learning application
This study introduces the smart development of a cost-effective biomolecular indicator using
terminal restriction fragment length polymorphism (T-RFLP) based on the 16S rRNA gene …
terminal restriction fragment length polymorphism (T-RFLP) based on the 16S rRNA gene …
Sustainable approach of biological treatment of landfill leachate by Anaerobic Ammonium Oxidation: A review
An upsurge in living standards, rising industrialization and urbanization, the protection of
water environment has become a priority. Anaerobic ammonium oxidation process has …
water environment has become a priority. Anaerobic ammonium oxidation process has …