Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture

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datacite.relatedItem.firstPage507
datacite.relatedItem.issue8
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume10
dc.contributor.authorPrashant K. Srivastava
dc.contributor.authorGeorge P. Petropoulos
dc.contributor.authorRajendra Prasad
dc.contributor.authorDimitris Triantakonstantis
dc.date.accessioned2025-05-14T12:49:56Z
dc.date.available2025-05-14T12:49:56Z
dc.date.issued2021
dc.identifier.doihttps://doi.org/10.3390/ijgi10080507
dc.identifier.otherjz000145-0503
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21798
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleRandom Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/21799
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