Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417))

Yanjie Zhang; Lakshmi Thangavelu; Talib Zeedan Taban; Walid Kamal Abdelbasset; Wanich Suksatan; Mohd Sani Sarjadi; Md Lutfor Rahman; Shaheen M. Sarkar; May Alashwal; Mohammed Zwawi; Mohammed Algarni

doi:10.1016/j.eti.2023.103317

Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417))

Yanjie Zhang
, Lakshmi Thangavelu
, Talib Zeedan Taban
, Walid Kamal Abdelbasset
, Wanich Suksatan
, Mohd Sani Sarjadi
, Md Lutfor Rahman
, Shaheen M. Sarkar
, May Alashwal
, Mohammed Zwawi
, Mohammed Algarni

Research output: Contribution to journal › Comment/debate

Abstract

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Editors-in-Chief. After publication, concerns were raised about authorship and description of author contributions. The authors were requested to provide an explanation regarding the contributions, but the Editors-in-Chief found the response to be insufficient. The Editors-in-Chief therefore no longer have confidence in whether the contributions made in this Article can be attributed to the authors. The first author, Yanjie Zhang, disagrees with the retraction.

Original language	English
Article number	103317
Journal	Environmental Technology and Innovation
Volume	32
DOIs	https://doi.org/10.1016/j.eti.2023.103317
State	Published - Nov 2023
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1016/j.eti.2023.103317

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Zhang, Y., Thangavelu, L., Taban, T. Z., Abdelbasset, W. K., Suksatan, W., Sarjadi, M. S., Rahman, M. L., Sarkar, S. M., Alashwal, M., Zwawi, M., & Algarni, M. (2023). Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417)). Environmental Technology and Innovation, 32, Article 103317. https://doi.org/10.1016/j.eti.2023.103317

Zhang, Yanjie ; Thangavelu, Lakshmi ; Taban, Talib Zeedan et al. / Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications : Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417)). In: Environmental Technology and Innovation. 2023 ; Vol. 32.

@article{1d24b80a7dad4a4f946fb4672c4ad10a,

title = "Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology \& Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417))",

abstract = "This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Editors-in-Chief. After publication, concerns were raised about authorship and description of author contributions. The authors were requested to provide an explanation regarding the contributions, but the Editors-in-Chief found the response to be insufficient. The Editors-in-Chief therefore no longer have confidence in whether the contributions made in this Article can be attributed to the authors. The first author, Yanjie Zhang, disagrees with the retraction.",

author = "Yanjie Zhang and Lakshmi Thangavelu and Taban, \{Talib Zeedan\} and Abdelbasset, \{Walid Kamal\} and Wanich Suksatan and Sarjadi, \{Mohd Sani\} and Rahman, \{Md Lutfor\} and Sarkar, \{Shaheen M.\} and May Alashwal and Mohammed Zwawi and Mohammed Algarni",

note = "Publisher Copyright: {\textcopyright} 2023 The Author(s)",

year = "2023",

month = nov,

doi = "10.1016/j.eti.2023.103317",

language = "English",

volume = "32",

journal = "Environmental Technology and Innovation",

issn = "2352-1864",

publisher = "Elsevier B.V.",

}

Zhang, Y, Thangavelu, L, Taban, TZ, Abdelbasset, WK, Suksatan, W, Sarjadi, MS, Rahman, ML, Sarkar, SM, Alashwal, M, Zwawi, M & Algarni, M 2023, 'Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417))', Environmental Technology and Innovation, vol. 32, 103317. https://doi.org/10.1016/j.eti.2023.103317

Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417)). / Zhang, Yanjie; Thangavelu, Lakshmi; Taban, Talib Zeedan et al.
In: Environmental Technology and Innovation, Vol. 32, 103317, 11.2023.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications

T2 - Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417))

AU - Zhang, Yanjie

AU - Thangavelu, Lakshmi

AU - Taban, Talib Zeedan

AU - Abdelbasset, Walid Kamal

AU - Suksatan, Wanich

AU - Sarjadi, Mohd Sani

AU - Rahman, Md Lutfor

AU - Sarkar, Shaheen M.

AU - Alashwal, May

AU - Zwawi, Mohammed

AU - Algarni, Mohammed

PY - 2023/11

Y1 - 2023/11

N2 - This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Editors-in-Chief. After publication, concerns were raised about authorship and description of author contributions. The authors were requested to provide an explanation regarding the contributions, but the Editors-in-Chief found the response to be insufficient. The Editors-in-Chief therefore no longer have confidence in whether the contributions made in this Article can be attributed to the authors. The first author, Yanjie Zhang, disagrees with the retraction.

AB - This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Editors-in-Chief. After publication, concerns were raised about authorship and description of author contributions. The authors were requested to provide an explanation regarding the contributions, but the Editors-in-Chief found the response to be insufficient. The Editors-in-Chief therefore no longer have confidence in whether the contributions made in this Article can be attributed to the authors. The first author, Yanjie Zhang, disagrees with the retraction.

UR - https://www.scopus.com/pages/publications/85175527101

U2 - 10.1016/j.eti.2023.103317

DO - 10.1016/j.eti.2023.103317

M3 - Comment/debate

AN - SCOPUS:85175527101

SN - 2352-1864

VL - 32

JO - Environmental Technology and Innovation

JF - Environmental Technology and Innovation

M1 - 103317

ER -

Zhang Y, Thangavelu L, Taban TZ, Abdelbasset WK, Suksatan W, Sarjadi MS et al. Retraction notice to “Development of hybrid machine learning model for simulation of chemical reactors in water treatment applications: Absorption in amino acid” [Environ. Technol. Innov. 27 (2022) 102417] (Environmental Technology & Innovation (2022) 27, (S2352186422000761), (10.1016/j.eti.2022.102417)). Environmental Technology and Innovation. 2023 Nov;32:103317. doi: 10.1016/j.eti.2023.103317

Abstract

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