Search Results - "Gunho Jung"

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  1. 1

    Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Jung, Gunho, Choi, Sun-Yong

    Published in Complexity (New York, N.Y.) (2021)
    “…Since the breakdown of the Bretton Woods system in the early 1970s, the foreign exchange (FX) market has become an important focus of both academic and…”
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    Journal Article
  2. 2

    Retrieval of Wheat Growth Parameters With Radar Vegetation Indices by Kim, Yihyun, Jackson, Thomas, Bindlish, Rajat, Hong, Sukyoung, Jung, Gunho, Lee, Kyuongdo

    Published in IEEE geoscience and remote sensing letters (01-04-2014)
    “…The radar vegetation index (RVI) has low sensitivity to changes in environmental conditions and has the potential as a tool to monitor vegetation growth. In…”
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    Journal Article
  3. 3

    Forecasting CDS Term Structure Based on Nelson–Siegel Model and Machine Learning by Kim, Won Joong, Choi, Sun-Yong, Jung, Gunho

    Published in Complexity (New York, N.Y.) (2020)
    “…In this study, we analyze the term structure of credit default swaps (CDSs) and predict future term structures using the Nelson–Siegel model, recurrent neural…”
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    Journal Article
  4. 4

    Effects of waterlogging on nitrogen fixation and photosynthesis in supernodulating soybean [Glycine max] cultivar Kanto 100 by Jung, G.(Tohoku Univ., Sendai (Japan)), Matsunami, T, Oki, Y, Kokubun, M

    Published in Plant production science (2008)
    “…The supernodulating soybean (Glycine max (L.) Merr.) cultivar Kanto 100 was previously characterized by superior nitrogen (N) fixation and photosynthesis, and…”
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    Journal Article
  5. 5

    Estimating wheat growth for radar vegetation indices by Yihyun Kim, Sukyoung Hong, Kyoungdo Lee, Jackson, Thomas, Bindlish, Rajat, Gunho Jung, Soyeong Jang, Sangil Na

    “…In this study, we computed the Radar Vegetation Index (RVI) using observations made with a ground based multi-frequency polarimetric scatterometer system over…”
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    Conference Proceeding
  6. 6

    AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking by Kim, Vitaliy, Jung, Gunho, Lee, Seong-Whan

    Published 25-01-2024
    “…Many multi-object tracking (MOT) approaches, which employ the Kalman Filter as a motion predictor, assume constant velocity and Gaussian-distributed filtering…”
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    Journal Article