Application of remote monitoring and automatic control system using neural network for small wastewater treatment plants in Korea | Citedby Results | Water Science & Technology | IWA Publishing

Skip to Main Content

Skip Nav Destination

Application of remote monitoring and automatic control system using neural network for small wastewater treatment plants in Korea

Water Sci Technol (2005) 51 (10): 249–257.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Application and Evaluation of Energy Conservation Technologies in Wastewater Treatment Plants

Yongteng Sun
Ming Lu
Yongjun Sun
Zuguo Chen
Hao Duan
Duan Liu

Applied Sciences (2019) 9 (21): 4501.

Real time potentiometric macro flow sensor: An innovative tool to monitor electrogenerated electron mediator in high concentrated electrolyte during electrolysis and air pollutants removal

G. Muthuraman
P. Silambarasan
I.S. Moon

Electrochimica Acta (2019) 295: 427.

Modelling pathogen log10 reduction values achieved by activated sludge treatment using naïve and semi naïve Bayes network models

Guido Carvajal
David J. Roser
Scott A. Sisson
Alexandra Keegan
Stuart J. Khan

Water Research (2015) 85: 304.

Prediction analysis of a wastewater treatment system using a Bayesian network

Dan Li
Hai Zhen Yang
Xiao Feng Liang

Environmental Modelling & Software (2013) 40: 140.

Model predictive control of dissolved oxygen concentration based on a self-organizing RBF neural network

Hong-Gui Han
Jun-Fei Qiao
Qi-Li Chen

Control Engineering Practice (2012) 20 (4): 465.

Adaptive dissolved oxygen control based on dynamic structure neural network

Hong-Gui Han
Jun-Fei Qiao

Applied Soft Computing (2011) 11 (4): 3812.