Yayın: Sea surface temperature prediction model for the Black Sea by employing time-series satellite data: a machine learning approach
| dc.contributor.author | EKİNCEK, ALİ | |
| dc.contributor.author | Ali Ekincek | |
| dc.contributor.author | Mervegül Aykanat-Atay | |
| dc.contributor.author | Berkan Sarıtaş | |
| dc.contributor.author | Mehtap Özenen Kavlak | |
| dc.contributor.orcid | 0000-0001-9596-0079 | |
| dc.contributor.orcid | 0000-0002-9888-7695 | |
| dc.contributor.orcid | 0000-0002-8890-1692 | |
| dc.contributor.orcid | 0000-0003-1429-0304 | |
| dc.contributor.orcid | 0000-0002-5369-4494 | |
| dc.date.accessioned | 2025-11-13T10:55:27Z | |
| dc.date.issued | 2022-08-23 | |
| dc.identifier.doi | https://doi.org/10.1007/s12518-022-00462-y | |
| dc.identifier.endpage | 678 | |
| dc.identifier.issn | 1866-928X | |
| dc.identifier.issue | 4 | |
| dc.identifier.openalex | W4292696093 | |
| dc.identifier.startpage | 669 | |
| dc.identifier.uri | https://hdl.handle.net/11421/5673 | |
| dc.identifier.uri | https://doi.org/10.1007/s12518-022-00462-y | |
| dc.identifier.volume | 14 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Applied Geomatics | |
| dc.rights | restrictedAccess | |
| dc.subject | Sea surface temperature | |
| dc.subject | Satellite | |
| dc.subject | Artificial neural network | |
| dc.subject | Mean squared error | |
| dc.subject | Time series | |
| dc.subject | Series (stratigraphy) | |
| dc.subject | Recurrent neural network | |
| dc.subject | Environmental science | |
| dc.subject | Black sea | |
| dc.subject | Computer science | |
| dc.subject | Remote sensing | |
| dc.subject | Climatology | |
| dc.subject | Term (time) | |
| dc.subject | Meteorology | |
| dc.subject | Oceanography | |
| dc.subject | Geography | |
| dc.subject | Artificial intelligence | |
| dc.subject | Machine learning | |
| dc.subject | Geology | |
| dc.subject | Statistics | |
| dc.subject | Mathematics | |
| dc.subject | Engineering | |
| dc.subject.sdg | 14 | |
| dc.title | Sea surface temperature prediction model for the Black Sea by employing time-series satellite data: a machine learning approach | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5008461511 |
