Application of artificial neural networks and response surface methodology for dye removal by a novel biosorbent-Reference-Cited by-同舟云学术

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Application of artificial neural networks and response surface methodology for dye removal by a novel biosorbent

Published:2022 Issue: Volume:278 Page:263-272
ISSN:
Container-title:DESALINATION AND WATER TREATMENT
language:
Short-container-title:DWT

Author:

Namdeti Rakesh,Joaquin Arlene Abuda,Al Amri Abdul Majeed Abdullah Hajiran Masada,Tabook Khalid Mahad Ali

Publisher

Desalination Publications

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,Plant Science,Agronomy and Crop Science,Molecular Biology,Ecology,Ecology, Evolution, Behavior and Systematics,Complementary and alternative medicine,Drug Discovery,Plant Science,Molecular Medicine,General Medicine,Biochemistry,Food Science,Analytical Chemistry,Horticulture,Plant Science,Molecular Biology,General Medicine,Biochemistry,Plant Science,Agronomy and Crop Science,Biochemistry,Biotechnology,Plant Science,Biotechnology

Link

http://www.deswater.com/DWT_articles/vol_278_papers/278_2022_263.pdf

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Central composite design for the removal of copper by an Adansonia digitata;Desalination and Water Treatment;2024-01

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