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Statistical Method and Deep Learning Model for Sea Surface Temperature Prediction
Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.6 pp.543-551
DOI:https://doi.org/10.7837/kosomes.2023.29.6.543
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Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.5 pp.445-455
DOI:https://doi.org/10.7837/kosomes.2023.29.5.445
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Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.2 pp.98-105
DOI:https://doi.org/10.7837/kosomes.2023.29.2.098
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Journal of the Korean Society of Marine Environment and safety :: Vol.29 No.2 pp.147-159
DOI:https://doi.org/10.7837/kosomes.2023.29.2.147
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Journal of the Korean Society of Marine Environment and safety :: Vol.28 No.5 pp.746-752
DOI:https://doi.org/10.7837/kosomes.2022.28.5.746
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Journal of the Korean Society of Marine Environment and safety :: Vol.27 No.5 pp.691-699
DOI:https://doi.org/10.7837/kosomes.2021.27.5.691
Open abstract -
State of the Art on GNSS Reflectometry and Marine Applications
Journal of the Korean Society of Marine Environment and safety :: Vol.27 No.2 pp.402-408
DOI:https://doi.org/10.7837/kosomes.2021.27.2.402
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Journal of the Korean Society of Marine Environment and safety :: Vol.25 No.6 pp.678-686
DOI:https://doi.org/10.7837/kosomes.2019.25.6.678
Open abstract -
Forecasting of Sea-Level Rise using a Semi-Empirical Method
Journal of the Korean Society of Marine Environment and safety :: Vol.19 No.1 pp.1-8
DOI:https://doi.org/10.7837/kosomes.2013.19.1.001
Open abstract