A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes

SS Ray, RK Verma, A Singh, M Ganesapillai, YN Kwon - Desalination, 2023 - Elsevier
In the modern era, deep learning (DL), and machine learning (ML), have emerged as
potential technologies that are widely applied in the fields of science, engineering, and …

Recent advancements in the treatment of petroleum refinery wastewater

MS Lawan, R Kumar, J Rashid, MAEF Barakat - Water, 2023 - mdpi.com
The treatment of petroleum refinery wastewater (PRWW) is of great interest in industrial
wastewater management. This wastewater contains a diverse concentration of contaminants …

[HTML][HTML] A data-driven physics-informed neural network for predicting the viscosity of nanofluids

I Chiniforooshan Esfahani - AIP Advances, 2023 - pubs.aip.org
Nanofluids have been applied in various fields, such as solar collectors, petroleum
engineering, and chemical engineering, due to their superior properties compared to …

Evolution of S/N containing compounds in pyrolysis of highly oily petroleum sludge

Z Wang, Z Wang, Z Sun, K Ma, L Du, R Yuan - Fuel, 2022 - Elsevier
Pyrolysis of oily sludge in inert environment has a strong potential for energy recovery, in
which the transformation of S/N containing compounds is a key to influence the quality of …

An integral and multidimensional review on multi-layer perceptron as an emerging tool in the field of water treatment and desalination processes

AF Reza, R Singh, RK Verma, A Singh, YH Ahn… - Desalination, 2024 - Elsevier
An increase in population leads to an increase in the water demand. Technological
advancements are racing to address water shortages. Recent advances in deep learning …

[HTML][HTML] Prediction of the removal of solid suspensions and chemical oxygen demand from a pharmaceutical wastewater plant using a neural network approach

H Kermet-Said, S Ladeg, N Moulai-Mostefa - Desalination and Water …, 2024 - Elsevier
This study aimed to model the removal efficiency of chemical oxygen demand (COD) and
solid suspension (SS) from a real pharmaceutical wastewater treatment plant (WWTP) using …

Optimization of an artificial neural network topology using response surface methodology for microbial fuel cell power prediction

S Malekmohammadi, SA Mirbagheri - Biotechnology Progress, 2022 - Wiley Online Library
Microbial fuel cells (MFCs) are among the newest bioelectrical devices that have attracted
significant attention because they convert biodegradable organic matter to electricity. MFC …

Activated banana peel macrocomposite adsorbent for river water treatment: isotherm and kinetic studies

NM Apandi, MS Muhamad, T Wee Yek… - Water Practice & …, 2023 - iwaponline.com
This study investigates the potential of a hybrid process combining sand filtration column
with activated banana peels macrocomposite (ABPM) adsorbent for river water treatment …

Treatment of petroleum refinery effluents by a hybrid system of activated sludge and rotation biological reactor, followed by the sand filter

S Aghababaee, S Malekmohammadi… - Journal of Hydraulic …, 2022 - jhs.scu.ac.ir
In this study, a novel hybrid treatment system was designed to increase the removal
efficiency of petroleum refinery wastewater. The hybrid system is a pilot scale including an …

Effect of temperature and total dissolved solids on the performance of activated sludge process for oil refinery wastewater: Case Study

MES El-Mahdy, SS Kassem… - Egyptian Journal of …, 2024 - ejchem.journals.ekb.eg
This study was carried out to assess the performance of the activated sludge process (ASP)
for the treatment of oil refinery wastewater. Seasonal variation for temperature and the total …