A Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran

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datacite.relatedItem.firstPage99
datacite.relatedItem.issue2
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datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume8
dc.contributor.authorMahmoud Delavar
dc.contributor.authorAmin Gholami
dc.contributor.authorGholam Shiran
dc.contributor.authorYousef Rashidi
dc.contributor.authorGholam Nakhaeizadeh
dc.contributor.authorKurt Fedra
dc.contributor.authorSmaeil Hatefi Afshar
dc.date.accessioned2025-05-14T15:04:55Z
dc.date.available2025-05-14T15:04:55Z
dc.date.issued2019
dc.identifier.doihttps://doi.org/10.3390/ijgi8020099
dc.identifier.otherjz000156-0099
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27684
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Novel Method for Improving Air Pollution Prediction Based on Machine Learning Approaches: A Case Study Applied to the Capital City of Tehran
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27685
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