Experimental investigation and proposal of artificial neural network models of lead and cadmium heavy metal ion removal from water using porous nanomaterials
This study used porous nanomaterials MCM-41 and SBA-15, as well as their modified
species, to remove lead and cadmium ions from water. We used X-ray diffraction (XRD), a …
species, to remove lead and cadmium ions from water. We used X-ray diffraction (XRD), a …
Comparison of different approaches for numerical modeling of nanofluid subcooled flow boiling and proposing predictive models using artificial neural network
A El Jery, P Satishkumar, HM Salman… - Progress in Nuclear …, 2023 - Elsevier
Nanofluids subcooled flow boiling was numerically studied using the Two-fluid model and
Three-phase model. The Eulerian approach simulated the contraction of the base fluid and …
Three-phase model. The Eulerian approach simulated the contraction of the base fluid and …
An efficient investigation and machine learning-based prediction of decolorization of wastewater by using zeolite catalyst in electro-Fenton reaction
A El Jery, M Aldrdery, UR Shirode, JCO Gavilán… - Catalysts, 2023 - mdpi.com
The shortage of water resources has caused extensive research to be conducted in this field
to develop effective, rapid, and affordable wastewater treatment methods. For the treatment …
to develop effective, rapid, and affordable wastewater treatment methods. For the treatment …
Numerical simulation of the motion and interaction of bubble pair rising in a quiescent liquid
A Ghanavati, S Khodadadi, MH Taleghani… - Applied Ocean …, 2023 - Elsevier
In the present study, the motion and interaction of a bubble pair rising in a stationary liquid
are simulated in two dimensions using the volume of fluid method (VOF) in the open-source …
are simulated in two dimensions using the volume of fluid method (VOF) in the open-source …
A novel experimental and machine learning model to remove COD in a batch reactor equipped with microalgae
By using microorganisms and the microalgae Chlorella vulgaris in conjunction with
sequencing batch reactors (SBRs), the performance of a wastewater treatment facility was …
sequencing batch reactors (SBRs), the performance of a wastewater treatment facility was …
Thermodynamics Investigation and artificial neural network prediction of energy, exergy, and hydrogen production from a solar thermochemical plant using a polymer …
A El Jery, HM Salman, RM Al-Khafaji, MF Nassar… - Molecules, 2023 - mdpi.com
Hydrogen production using polymer membrane electrolyzers is an effective and valuable
way of generating an environmentally friendly energy source. Hydrogen and oxygen …
way of generating an environmentally friendly energy source. Hydrogen and oxygen …
[HTML][HTML] Proposing empirical correlations and optimization of Nu and Sgen of nanofluids in channels and predicting them using artificial neural network
A El Jery, AA Ramírez-Coronel, JCO Gavilán… - Case Studies in Thermal …, 2023 - Elsevier
Getting the best performance from a thermal system requires two fundamental analyses,
energy and entropy generation. An ideal mechanism has the highest Nu and the lowest …
energy and entropy generation. An ideal mechanism has the highest Nu and the lowest …
Sustainable heat transfer management: modeling of entropy generation minimization and Nusselt number development in internal flows with various shapes of cross …
AE Jery, P Satishkumar, M Abdul Jaleel Maktoof… - Water, 2022 - mdpi.com
In order to achieve the best performance of a thermal system, two major analyses must be
carried out on the system: energy and entropy generation. The best scenario is a …
carried out on the system: energy and entropy generation. The best scenario is a …
[HTML][HTML] Enhancing the Performance of Machine Learning and Deep Learning-Based Flood Susceptibility Models by Integrating Grey Wolf Optimizer (GWO) Algorithm
Flooding is a recurrent hazard occurring worldwide, resulting in severe losses. The
preparation of a flood susceptibility map is a non-structural approach to flood management …
preparation of a flood susceptibility map is a non-structural approach to flood management …
An Application of Ultrasonic Waves in the Pretreatment of Biological Sludge in Urban Sewage and Proposing an Artificial Neural Network Predictive Model of …
This research examines whether ultrasonic waves can enhance the hydrolysis, stability, and
dewatering of activated sludge from raw urban wastewater. Sampling and physical …
dewatering of activated sludge from raw urban wastewater. Sampling and physical …