Hasil Pencarian - Seongmun Sim

  • Menampilkan 1 - 8 hasil dari 8
Perbaiki Hasil
  1. 1
    Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation

    Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation oleh Seongmun Sim, Jungho Im

    Diterbitkan 2023-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  2. 2
    An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels

    An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels oleh Yeji Shin, Juhyun Lee, Jungho Im, Seongmun Sim

    Diterbitkan 2022-09-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  3. 3
    Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML

    Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML oleh Seongmun Sim, Jungho Im, Sihun Jung, Daehyeon Han

    Diterbitkan 2024-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  4. 4
    Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea

    Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea oleh Haemi Park, Junghee Lee, Cheolhee Yoo, Seongmun Sim, Jungho Im

    Diterbitkan 2021-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  5. 5
    Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data

    Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data oleh Juhyun Lee, Jungho Im, Dong-Hyun Cha, Haemi Park, Seongmun Sim

    Diterbitkan 2019-12-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  6. 6
    A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data

    A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data oleh Daehyeon Han, Juhyun Lee, Jungho Im, Seongmun Sim, Sanggyun Lee, Hyangsun Han

    Diterbitkan 2019-06-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  7. 7
    Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches

    Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches oleh Seongmun Sim, Jungho Im, Sumin Park, Haemi Park, Myoung Hwan Ahn, Pak-wai Chan

    Diterbitkan 2018-04-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:
  8. 8
    Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data

    Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Inc... oleh Hyangsun Han, Jungho Im, Miae Kim, Seongmun Sim, Jinwoo Kim, Duk-jin Kim, Sung-Ho Kang

    Diterbitkan 2016-01-01
    Dapatkan teks lengkap
    Artikel
    Simpan ke Daftar
    Disimpan di:

Alat Pencarian: