Prediction of heavy metals removal by polymer inclusion membranes using machine learning techniques-Reference-Cited by-同舟云学术

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Prediction of heavy metals removal by polymer inclusion membranes using machine learning techniques

Published:2021-03-08 Issue:3 Volume:35 Page:1073-1084
ISSN:1747-6585
Container-title:Water and Environment Journal
language:en
Short-container-title:Water and Environment Journal

Author:

Yaqub Muhammad¹,Eren Beytullah²^ORCID,Eyupoglu Volkan³

Affiliation:

1. School of Civil & Environmental Engineering Kumoh National Institute of Technology Gumi South Korea

2. Department of Environmental Engineering, Faculty of Engineering Sakarya University Sakarya Turkey

3. Science Faculty, Chemistry Department Cankiri Karatekin University Cankiri Turkey

Funder

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Water Science and Technology,Environmental Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/wej.12699

Reference35 articles.

1. Recent trends of heavy metal removal from water/wastewater by membrane technologies

2. Effective removal of metal ions from aquous solution by silver and zinc nanoparticles functionalized cellulose: Isotherm, kinetics and statistical supposition of process

3. Polymer Inclusion Membranes: Concept and Applications

4. Survey of Heavy Metal Contamination in Water Sources in the Municipality of Torola, El Salvador, through In Situ Sorbent Extraction

5. Removal of metals (Pb, Cd, Cu, Cr, Ni, and Co) from drinking water by oxidation-coagulation-absorption at optimized pH

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1. Modelling and predicting lift force and trans-membrane pressure using linear, KNN, ANN and response surface models during the separation of oil drops from produced water;Journal of Water Process Engineering;2024-09

2. Testing functional polyketones to remove scaling calcium and magnesium from real reverse osmosis concentrate and optimizing the process using machine learning models;Journal of Water Process Engineering;2024-06

3. Applications of artificial intelligence (AI) in drinking water treatment processes: Possibilities;Chemosphere;2024-05

4. Artificial intelligence models for predicting calcium and magnesium removal by polyfunctional ketone using ensemble machine learners;Chemosphere;2023-12

5. On membrane-based approaches for rare earths separation and extraction – Recent developments;Coordination Chemistry Reviews;2023-10

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