Predictive modeling for the adsorptive and photocatalytic removal of phenolic contaminants from water using artificial neural networks

Predictive modeling for the adsorptive and photocatalytic removal of phenolic contaminants from water using artificial neural networks

Numerous harmful phenolic contaminants are discharged into water that pose a serious threat to environment where two of the most important purification methodologies for the mitigation of phenolic contaminants are adsorption and photocatalysis. Besides cost, each process has drawbacks in terms of pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Shahzar Hafeez, Ayesha Ishaq, Azeem Intisar, Tariq Mahmood, Muhammad Imran Din, Ejaz Ahmed, Muhammad Rizwan Tariq, Muhammad Amin Abid
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Heliyon
Subjects:
Adsorption
Artificial intelligence
Artificial neural network models
Phenolic contaminants
Photocatalysis
Wastewater treatment
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024139825
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024139825

Similar Items