Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Suraj Kumar Bhagat; Tiyasha Tiyasha; Salih Muhammad Awadh; Tran Minh Tung; Ali H. Jawad; Zaher Mundher Yaseen

doi:10.1016/j.envpol.2020.115663

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Suraj Kumar Bhagat
, Tiyasha Tiyasha
, Salih Muhammad Awadh
, Tran Minh Tung
, Ali H. Jawad
, Zaher Mundher Yaseen^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

140 Scopus citations

Abstract

Research finding: The research provided a reliable hybrid intelligence models for Pb prediction at the Australian Bays with less associated HM parameters for better Bay sustainability and management.

Original language	English
Article number	115663
Journal	Environmental Pollution
Volume	268
DOIs	https://doi.org/10.1016/j.envpol.2020.115663
State	Published - 1 Jan 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Keywords

Australian Bays
Feature selection
Heavy metal prediction
Hybridized intelligence models
Sediment lead (Pb)

ASJC Scopus subject areas

Toxicology
Pollution
Health, Toxicology and Mutagenesis

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10.1016/j.envpol.2020.115663

Cite this

@article{734c9b66406e48dd9bae174a6bd0e110,

title = "Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models",

abstract = "Research finding: The research provided a reliable hybrid intelligence models for Pb prediction at the Australian Bays with less associated HM parameters for better Bay sustainability and management.",

keywords = "Australian Bays, Feature selection, Heavy metal prediction, Hybridized intelligence models, Sediment lead (Pb)",

author = "Bhagat, \{Suraj Kumar\} and Tiyasha Tiyasha and Awadh, \{Salih Muhammad\} and Tung, \{Tran Minh\} and Jawad, \{Ali H.\} and Yaseen, \{Zaher Mundher\}",

note = "Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2021",

month = jan,

day = "1",

doi = "10.1016/j.envpol.2020.115663",

language = "English",

volume = "268",

journal = "Environmental Pollution",

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T1 - Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

AU - Bhagat, Suraj Kumar

AU - Tiyasha, Tiyasha

AU - Awadh, Salih Muhammad

AU - Tung, Tran Minh

AU - Jawad, Ali H.

AU - Yaseen, Zaher Mundher

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Research finding: The research provided a reliable hybrid intelligence models for Pb prediction at the Australian Bays with less associated HM parameters for better Bay sustainability and management.

AB - Research finding: The research provided a reliable hybrid intelligence models for Pb prediction at the Australian Bays with less associated HM parameters for better Bay sustainability and management.

KW - Australian Bays

KW - Feature selection

KW - Heavy metal prediction

KW - Hybridized intelligence models

KW - Sediment lead (Pb)

UR - https://www.scopus.com/pages/publications/85093680403

U2 - 10.1016/j.envpol.2020.115663

DO - 10.1016/j.envpol.2020.115663

M3 - Article

C2 - 33120144

AN - SCOPUS:85093680403

SN - 0269-7491

VL - 268

JO - Environmental Pollution

JF - Environmental Pollution

M1 - 115663

ER -

Prediction of sediment heavy metal at the Australian Bays using newly developed hybrid artificial intelligence models

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this