Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)

Myrmeleontidae; erratum

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Main Authors:	Banadkooki F.B., Ehteram M., Ahmed A.N., Teo F.Y., Ebrahimi M., Fai C.M., Huang Y.F., El-Shafie A.
Other Authors:	57201068611
Format:	Erratum
Published:	Springer 2023
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Institution:	Universiti Tenaga Nasional

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spelling	my.uniten.dspace-252132023-05-29T16:07:24Z Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w) Banadkooki F.B. Ehteram M. Ahmed A.N. Teo F.Y. Ebrahimi M. Fai C.M. Huang Y.F. El-Shafie A. 57201068611 57113510800 57214837520 35249518400 57209555582 57214146115 55807263900 16068189400 Myrmeleontidae; erratum Following the publication of the article it has come to the authors' attention that the first panel of Fig. 11 has been repeated with the second panel of Fig. 11. � 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Final 2023-05-29T08:07:23Z 2023-05-29T08:07:23Z 2020 Erratum 10.1007/s11356-020-10139-x 2-s2.0-85088399679 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088399679&doi=10.1007%2fs11356-020-10139-x&partnerID=40&md5=c7b5f0239aa103ed1da61975e3e847e0 https://irepository.uniten.edu.my/handle/123456789/25213 27 30 38117 38119 All Open Access, Bronze Springer Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Myrmeleontidae; erratum
author2	57201068611
author_facet	57201068611 Banadkooki F.B. Ehteram M. Ahmed A.N. Teo F.Y. Ebrahimi M. Fai C.M. Huang Y.F. El-Shafie A.
format	Erratum
author	Banadkooki F.B. Ehteram M. Ahmed A.N. Teo F.Y. Ebrahimi M. Fai C.M. Huang Y.F. El-Shafie A.
spellingShingle	Banadkooki F.B. Ehteram M. Ahmed A.N. Teo F.Y. Ebrahimi M. Fai C.M. Huang Y.F. El-Shafie A. Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
author_sort	Banadkooki F.B.
title	Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
title_short	Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
title_full	Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
title_fullStr	Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
title_full_unstemmed	Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
title_sort	correction to: suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (environmental science and pollution research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)
publisher	Springer
publishDate	2023
_version_	1806427294441406464

Correction to: Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm (Environmental Science and Pollution Research, (2020), 27, 30, (38094-38116), 10.1007/s11356-020-09876-w)

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