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：
HELIYON | 2023年 / 9卷 / 07期
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
收藏
页数：1
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