File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
dc.contributor.advisor Im, Jungho - Beatty, Audrieauna - 2024-04-11T15:20:34Z - 2024-04-11T15:20:34Z - 2024-02 - Master -
dc.description Department of Civil, Urban, Earth, and Environmental Engineering (Environmental Science and Engineering) -
dc.identifier.uri -
dc.identifier.uri -
dc.language ENG -
dc.publisher Ulsan National Institute of Science and Technology -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject ozone -
dc.subject machine learning -
dc.subject air pollution -
dc.subject TOA Reflectance -
dc.title Machine learning model for estimating ground-level ozone based on himawari-8 TOA reflectance in Korea -
dc.type Thesis -


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.