Time Series Forecasting of Significant Wave Height using GRU, CNN-GRU, and LSTM
Predicting wave height is essential to reduce significant risks for shipping or activities carried out at sea. Waves inherit a stochastic nature, mainly generated by wind and propagated through the ocean, making them challenging to forecast. In this paper, we design time series wave forecasting usin...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Ikatan Ahli Informatika Indonesia
2022-10-01
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| coleção: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Assuntos: | |
| Acesso em linha: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4160 |
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