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

Simple item page
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.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27685
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.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution828cfa18-6fb2-4e10-8bde-3ffc9fcbc406
relation.isDatasetOfDistribution.latestForDiscovery828cfa18-6fb2-4e10-8bde-3ffc9fcbc406

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijgi-08-02-00099.pdf
Size:
10.98 MB
Format:
Adobe Portable Document Format
Download

Collections

2019