Please use this identifier to cite or link to this item: https://t2-4.bsc.es/jspui/handle/123456789/71799
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dc.creatorBesharati, Mohammad Reza-
dc.creatorNafiseh Jafari-
dc.creatorMohammad Izadi-
dc.creatorAlireza Talebpour-
dc.date2021-06-13-
dc.date.accessioned2023-04-04T15:07:13Z-
dc.date.available2023-04-04T15:07:13Z-
dc.identifierhttps://zenodo.org/record/4939978-
dc.identifier10.5281/zenodo.4939978-
dc.identifieroai:covid19data.eui.eu:54drz-9z051-
dc.identifierhttps://covid19data.eui.eu/records/54drz-9z051-
dc.identifier.urihttps://t2-4.bsc.es/jspui/handle/123456789/71799-
dc.identifier.urihttps://t2-4.bsc.es/jspui/handle/123456789/71799*
dc.descriptionwith Dataset-
dc.publisherZenodo-
dc.rightsinfo:eu-repo/semantics/closedAccess-
dc.rightsCreative Commons Attribution 4.0 International-
dc.rightshttps://creativecommons.org/licenses/by/4.0/legalcode-
dc.subjectSARS-CoV-2, COVID-19, Atmospheric Iodine, Oceanic Iodine, United Kingdom, Germany, Poland, Romania, Turkey, Ukraine, Iran, Machine Learning, Random Forest-
dc.titleMachine Learning for Outbreak Prediction, based on Outbreak-Data of other 6 Countries (In the passage of atmospheric oceanic iodine)-
dc.typeinfo:eu-repo/semantics/other-
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