Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran

Fooladi, M Golmohammadi, MH Rahimi, I

Safavi, HR Nikoo, MR

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Field	Value	Language
dc.contributor.author	Fooladi, M
dc.contributor.author	Golmohammadi, MH
dc.contributor.author	Rahimi, I https://orcid.org/0000-0003-3780-4726
dc.contributor.author	Safavi, HR
dc.contributor.author	Nikoo, MR
dc.date.accessioned	2024-04-01T22:14:45Z
dc.date.available	2024-04-01T22:14:45Z
dc.date.issued	2023-07-01
dc.identifier.citation	EXPERT SYSTEMS WITH APPLICATIONS, 2023, 221
dc.identifier.issn	0957-4174
dc.identifier.issn	1873-6793
dc.identifier.uri	http://hdl.handle.net/10453/177397
dc.language	English
dc.publisher	PERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartof	EXPERT SYSTEMS WITH APPLICATIONS
dc.relation.isbasedon	10.1016/j.eswa.2023.119788
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Assessing the changeability of precipitation patterns using multiple remote sensing data and an efficient uncertainty method over different climate regions of Iran
dc.type	Journal Article
utslib.citation.volume	221
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2024-04-01T22:14:42Z
pubs.publication-status	Published
pubs.volume	221

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