Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts Ali, Mumtaz, Prasad, Ramendra, Xiang, Yong and Yaseen, Zaher Mundher 2020, Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts, Journal of hydrology, vol. 584, pp. 1-15, doi: 10.1016/j.jhydrol.2020.124647. Attached Files Name Description MIMEType Size Downloads Title Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts Author(s) Ali, Mumtaz orcid.org/0000-0002-6975-5159 Prasad, Ramendra Xiang, Yong orcid.org/0000-0003-3545-7863 Yaseen, Zaher Mundher Journal name Journal of hydrology Volume number 584 Article ID 124647 Start page 1 End page 15 Total pages 15 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2020-05 ISSN 0022-1694 Keyword(s) Rainfall Water resources Drought CEEMD Random forest KRR Language eng DOI 10.1016/j.jhydrol.2020.124647 Indigenous content off Field of Research MD Multidisciplinary HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30134883 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 10 Feb 2020, 15:29:19 EST Tue, 11 Feb 2020, 04:00:46 EST Mon, 24 Feb 2020, 07:43:54 EST Tue, 25 Feb 2020, 05:04:25 EST Mon, 02 Mar 2020, 11:04:34 EST Mon, 02 Mar 2020, 11:08:06 EST Mon, 02 Mar 2020, 11:08:41 EST Sat, 16 May 2020, 02:31:00 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 69 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Mon, 24 Feb 2020, 07:43:54 EST

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