Water science and technology : a journal of the International Association on Water Pollution Research
May 1, 2018
This work presents a methodology for automatic detection of structural faults in sewers from CCTV footage, which has been improved by combining the outputs of different machine learning techniques. The predictions of support vector machine and random...
Water environment research : a research publication of the Water Environment Federation
Jan 1, 2018
This study analyzes the level of satisfaction of stakeholders in the public participation process (PPP) of water resources management, which is mandatory according to the EU Water Framework Directive (WFD). The methodology uses a fuzzy set/qualitat...
Water science and technology : a journal of the International Association on Water Pollution Research
Dec 1, 2017
This study reports adsorptive removal of Cr(VI) by magnetic manganese ferrite and manganese oxide nano-particles (MnF-MO-NPs) composite from aqueous media. The X-ray diffraction pattern of MnF-MO-NPs revealed a polycrystalline nature with nanoscale c...
Water science and technology : a journal of the International Association on Water Pollution Research
Dec 1, 2017
In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to ...
The traditional biochemical treatment of printing and dyeing wastewater has limited efficiency. This study investigated whether HO could strengthen the biological ability of the hydrolytic acidification/biological contact oxidation process (A/O), whi...
Water science and technology : a journal of the International Association on Water Pollution Research
Jul 1, 2017
This research focuses on the application of an artificial neural network (ANN) to predict the removal efficiency of tartrazine from simulated wastewater using a photocatalytic process under solar illumination. A program is developed in Matlab softwar...
International journal of phytoremediation
May 4, 2017
Artificial neural networks (ANNs) have been widely used to solve the problems because of their reliable, robust, and salient characteristics in capturing the nonlinear relationships between variables in complex systems. In this study, ANN was applied...
Ethanol production from sugarcane molasses yields large volume of highly colored spent wash as effluent. This color is imparted by the recalcitrant melanoidin pigment produced due to the Maillard reaction. In the present work, decolourization of mela...
Water science and technology : a journal of the International Association on Water Pollution Research
Nov 1, 2016
The impact of flow rate and turbidity on the performance of multi-media filtration has been studied using an artificial neural network (ANN) based model. The ANN model was developed and tested based on experimental data collected from a pilot scale m...
Water science and technology : a journal of the International Association on Water Pollution Research
Jan 1, 2016
We report the adsorption efficiency of Cr(VI) on a strong anionic resin Dowex 1X8. The Fourier transform infrared spectroscopy (FTIR) and X-ray diffraction (XRD) analysis of this adsorbent were investigated. Response surface methodology was applied t...
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