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...

Full description

Saved in:

Bibliographic Details
Published in:	Sustainability Vol. 14; no. 23; p. 16163
Main Authors:	Park, Jinhyeok, Lee, Young Jae, Jo, Yongwon, Kim, Jaehoon, Han, Jin Hyun, Kim, Kuk Jin, Kim, Young Taeg, Kim, Seoung Bum
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.12.2022
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!