Application of Machine Learning Techniques to Ocean Mooring Time Series DataSource: Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 003::page 241Author:Sloyan, Bernadette M.
,
Chapman, Christopher C.
,
Cowley, Rebecca
,
Charantonis, Anastase A.
DOI: 10.1175/JTECH-D-21-0183.1Publisher: American Meteorological Society
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| contributor author | Sloyan, Bernadette M. | |
| contributor author | Chapman, Christopher C. | |
| contributor author | Cowley, Rebecca | |
| contributor author | Charantonis, Anastase A. | |
| date accessioned | 2024-12-24T13:58:41Z | |
| date available | 2024-12-24T13:58:41Z | |
| date copyright | 01 Mar. 2023 | |
| date issued | 2023 | |
| identifier other | atot-JTECH-D-21-0183.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299939 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Application of Machine Learning Techniques to Ocean Mooring Time Series Data | |
| type | Journal Paper | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Atmospheric and Oceanic Technology | |
| identifier doi | 10.1175/JTECH-D-21-0183.1 | |
| journal fristpage | 241 | |
| journal lastpage | 260 | |
| tree | Journal of Atmospheric and Oceanic Technology:;2023:;volume( 040 ):;issue: 003 | |
| contenttype | Fulltext |