Spatio-Temporal Network for Sea Fog Forecasting

Sea fog can seriously affect schedules and safety by reducing visibility during marine transportation. Therefore, the forecasting of sea fog is an important issue in preventing accidents. Recently, in order to forecast sea fog, several deep learning methods have been applied to time series data cons...

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Vydané v:	Sustainability Ročník 14; číslo 23; s. 16163
Hlavní autori:	Park, Jinhyeok, Lee, Young Jae, Jo, Yongwon, Kim, Jaehoon, Han, Jin Hyun, Kim, Kuk Jin, Kim, Young Taeg, Kim, Seoung Bum
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2022
Predmet:	Airports Analysis Artificial intelligence Climate change Deep learning deep learning; encoder-decoder structure; forecasting; multi-modal learning; sea fog Fog Forecasting Forecasts and trends Humidity Machine learning Neural networks Numerical analysis Ports Precipitation forecasting Shipping industry Support vector machines Technology application Time series South Korea
ISSN:	2071-1050, 2071-1050
On-line prístup:	Získať plný text
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