A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique (vol 9, e15455, 2023)

被引：3

作者：

Fiyadh, Seef Saadi ^{[1
]}

Alardhi, Saja Mohsen ^{[2
]}

Al Omar, Mohamed ^{[3
,10
]}

Aljumaily, Mustafa M. ^{[3
]}

Al Saadi, Mohammed Abdulhakim ^{[3
]}

Fayaed, Sabah Saadi ^{[3
,4
]}

Ahmed, Sulaiman Nayef ^{[5
]}

Salman, Ali Dawood ^{[6
,7
]}

Abdalsalm, Alyaa H. ^{[2
]}

Jabbar, Noor Mohsen ^{[8
]}

El-Shafi, Ahmed ^{[9
]}

机构：

[1] Cent Stat Org, Minist Planning, Anbar, Iraq

[2] Univ Technol Baghdad, Nanotechnol & Adv Mat Res Ctr, Baghdad, Iraq

[3] Al Maarif Univ Coll, Dept Civil Engn, Ramadi, Iraq

[4] Minist Planning Dept, Social Serv Projects Sect, Baghdad, Iraq

[5] Univ Fallujah, Construct & Projects Dept, Al Fallujah, Iraq

[6] Univ Pannonia, Sustainabil Solut Res Lab, Egyet Str 10, H-8200 Veszprem, Hungary

[7] Basra Univ Oil & Gas, Coll Oil & Gas Engn, Dept Chem & Petr Refining Engn, Basra, Iraq

[8] Univ Baghdad, Al Khwarizmi Coll Engn, Biochem Engn Dept, Baghdad, Iraq

[9] Univ Malaya, Dept Civil Engn, Kuala Lumpur 50603, Malaysia

[10] Univ Nizwa, Nat & Med Sci Res Ctr, Nizwa, Oman

来源：

关键词：

D O I：

10.1016/j.heliyon.2023.e17675

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

引用

页数：1