Regression model, artificial intelligence, and cost estimation for phosphate adsorption using encapsulated nanoscale zero-valent iron-Reference-Cited by-同舟云学术

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Regression model, artificial intelligence, and cost estimation for phosphate adsorption using encapsulated nanoscale zero-valent iron

Published:2018-08-06 Issue:1 Volume:54 Page:13-26
ISSN:0149-6395
Container-title:Separation Science and Technology
language:en
Short-container-title:Separation Science and Technology

Author:

Mahmoud Ahmed S.¹^ORCID,Mostafa Mohamed K.²,Nasr Mahmoud³^ORCID

Affiliation:

1. Sanitary and Environmental Engineering Research Institute, Housing and Building National Research Center, Giza, Egypt

2. Environmental Engineering Program, Zewail City of Science and Technology, 6th October City, Giza, Egypt

3. Sanitary Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt

Funder

Egyptian Housing Building Research Center

Publisher

Informa UK Limited

Subject

Filtration and Separation,Process Chemistry and Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/01496395.2018.1504799

Reference39 articles.

1. Phosphate removal from wastewater using red mud

2. Operational parameter impact and back propagation artificial neural network modeling for phosphate adsorption onto acid-activated neutralized red mud

3. Removal of phosphate from aqueous solutions and sewage using natural and surface modified coir pith

4. Adsorption of fluoride, arsenate and phosphate in aqueous solution by cerium impregnated fibrous protein

5. RETRACTED: Adsorption of phosphate ions onto low cost Aleppo pine adsorbent

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