EER :: Environmental Engineering Research

Harnessing Physics-Informed Neural Networks for Performance Monitoring in SWRO Desalination

Saloua Helali, Shadiah Albalawi, Nizar Bel Hadj Ali

ANN based-model for estimating the boron permeability coefficient as boric acid in SWRO desalination plants using ensemble-based machine learning

Nabil I. Ajali-Hernández, A. Ruiz-García, Carlos M. Travieso-González

Desalination.2024; 573: 117180. CrossRef

The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models

Lu Wang, Zonghao Li, Jianhua Fan, Zhiwu Han

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods

Arash Golabi, Abdelkarim Erradi, Hazim Qiblawey, Ashraf Tantawy, Ahmed Bensaid, Khaled Shaban

Applied Intelligence.2024; 54(8): 6333. CrossRef

Machine learning models of intermittent operation of RO wellhead water treatment for salinity reduction and nitrate removal

Yang Zhou, Nora Marki, Bilal Khan, Christian Aguilar, Yakubu Jarma, Yoram Cohen

Desalination.2024; 588: 117951. CrossRef

Predicting membrane cleaning effectiveness in a full-scale water treatment plant using an artificial neural network model

Ahmed Elsayed, Zhong Li, Kamil Khan, Robert Cormier, Charles-François de Lannoy

Journal of Water Process Engineering.2024; 66: 105932. CrossRef

Forecasting of Permeate Conductivity using MLR and ANN Methods of Boujdour Seawater Reverse Osmosis Desalination Plant

Siham Kherraf, Chaymae Bakkouche, Soukaina Barhmi, Jamal Mabrouki, Souad El Hajjaji, Omkeltoum Elfatni, Driss Dhiba, Khlifa Maissine

Current Analytical Chemistry.2023; 19(4): 348. CrossRef

Performance assessment and modeling of an SWRO pilot plant with an energy recovery device under variable operating conditions

Desalination.2023; 555: 116523. CrossRef

A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)

Waad H. Abuwatfa, Nour AlSawaftah, Naif Darwish, William G. Pitt, Ghaleb A. Husseini

Molecular-based artificial neural networks for selecting deep eutectic solvents for the removal of contaminants from aqueous media

Narjis E. Awaja, Ghaiath Almustafa, Ahmad S. Darwish, Tarek Lemaoui, Yacine Benguerba, Fawzi Banat, Hassan A. Arafat, Inas AlNashef

Chemical Engineering Journal.2023; 476: 146429. CrossRef

An efficient deep reinforcement machine learning-based control reverse osmosis system for water desalination

Desalination.2022; 522: 115443. CrossRef

Combination of computational fluid dynamics and design of experiments to optimize modules for direct contact membrane distillation

Jihyeok Choi, Hyeongrak Cho, Yongjun Choi, Sangho Lee

Desalination.2022; 524: 115460. CrossRef

A Neural Network Based Superstructure Optimization Approach to Reverse Osmosis Desalination Plants

Marcello Di Martino, Styliani Avraamidou, Efstratios N. Pistikopoulos

An Artificial Neural Network Mechanism for Optimizing the Water Treatment Process and Desalination Process

Alexandria Engineering Journal.2022; 61(12): 9287. CrossRef

Digital Transformation of Packaged Reverse Osmosis Plants for Industrial and Sewer Mining Applications

Claudio Kohn, Hung Cong Duong, Ngoc Bich Hoang, Long Duc Nghiem

Current Pollution Reports.2022; 8(4): 360. CrossRef

Machine learning modelling of a membrane capacitive deionization (MCDI) system for prediction of long-term system performance and optimization of process control parameters in remote brackish water desalination

Yunyi Zhu, Boyue Lian, Yuan Wang, Christopher Miller, Clare Bales, John Fletcher, Lina Yao, T. David Waite

Water Research.2022; 227: 119349. CrossRef

Forecast the artificial intelligence abetted desalination process with the aid of patent landscape analysis – a teeny review

Desalination and Water Treatment.2022; 261: 33. CrossRef

Development of artificial intelligence-based models for the prediction of filtration performance and membrane fouling in an osmotic membrane bioreactor

Journal of Environmental Chemical Engineering.2021; 9(4): 105337. CrossRef

Modeling and optimization of small-scale NF/RO seawater desalination using the artificial neural network (ANN)

Asma Adda, Salah Hanini, Salah Bezari, Maamar Laidi, Mohamed Abbas

Environmental Engineering Research.2021; 27(2): 200383. CrossRef

Efficiency evaluation of reverse osmosis desalination plant using hybridized multilayer perceptron with particle swarm optimization

Mohammad Ehteram, Sinan Q. Salih, Zaher Mundher Yaseen

Environmental Science and Pollution Research.2020; 27(13): 15278. CrossRef

Powdered activated carbon (PAC) – vacuum-assisted air gap membrane distillation (V-AGMD) hybrid system to treat wastewater containing surfactants: Effect of operating conditions

Yusik Kim, Yongjun Choi, Jihyeok Choi, Sangho Lee

Environmental Engineering Research.2020; 26(5): 200377. CrossRef