A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave ConditionsSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001DOI: 10.1175/AIES-D-22-0033.1Publisher: American Meteorological Society
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| contributor author | Chen, Jiaxin | |
| contributor author | Ashton, Ian G. C. | |
| contributor author | Steele, Edward C. C. | |
| contributor author | Pillai, Ajit C. | |
| date accessioned | 2024-12-24T15:12:42Z | |
| date available | 2024-12-24T15:12:42Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0033.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301993 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0033.1 | |
| journal lastpage | e220033 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| contenttype | Fulltext |