Hasil Pencarian - Seungmo Kang

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  1. 1
    Meta-heuristic approach for high-demand facility locations considering traffic congestion and greenhouse gas emission

    Meta-heuristic approach for high-demand facility locations considering traffic congestion and greenhouse gas emission oleh Taesung Hwang, Minho Lee, Chungwon Lee, Seungmo Kang

    Diterbitkan 2016-12-01
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  2. 2
    Differential Dynamics of Transit Use Resilience During the COVID-19 Pandemic Using Multivariate Two-Dimensional Functional Data Analysis

    Differential Dynamics of Transit Use Resilience During the COVID-19 Pandemic Using Multivariate Two-Dimensional Functional Data Analysis oleh Won Gyun Choi, Seunghee Ryu, Paul H. Jung, Seungmo Kang

    Diterbitkan 2024-01-01
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  3. 3
    Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity

    Multiobjective Approach to the Transit Network Design Problem with Variable Demand considering Transit Equity oleh Su Jin Park, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

    Diterbitkan 2022-01-01
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  4. 4
    Evaluating the Impact of the Sudden Collapse of Major Freeway Connectors on Rapid Transit and Adjacent Freeway Systems: San Francisco Bay Area Case Study

    Evaluating the Impact of the Sudden Collapse of Major Freeway Connectors on Rapid Transit and Adjacent Freeway Systems: San Francisco Bay Area Case Study oleh Yoonseok Oh, Koohong Chung, Shin Hyoung Park, Cheolsun Kim, Seungmo Kang

    Diterbitkan 2017-07-01
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  5. 5
    Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time

    Dynamically Determining the Toll Plaza Capacity by Monitoring Approaching Traffic Conditions in Real-Time oleh Cheolsun Kim, Dong-Kyu Kim, Seung-Young Kho, Seungmo Kang, Koohong Chung

    Diterbitkan 2016-03-01
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  6. 6
    Dwell Time Estimation Using Real-Time Train Operation and Smart Card-Based Passenger Data: A Case Study in Seoul, South Korea

    Dwell Time Estimation Using Real-Time Train Operation and Smart Card-Based Passenger Data: A Case Study in Seoul, South Korea oleh Yoonseok Oh, Young-Ji Byon, Ji Young Song, Ho-Chan Kwak, Seungmo Kang

    Diterbitkan 2020-01-01
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  7. 7
    Enhanced Application of Principal Component Analysis in Machine Learning for Imputation of Missing Traffic Data

    Enhanced Application of Principal Component Analysis in Machine Learning for Imputation of Missing Traffic Data oleh Yoon-Young Choi, Heeseung Shon, Young-Ji Byon, Dong-Kyu Kim, Seungmo Kang

    Diterbitkan 2019-05-01
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  8. 8
    Rebalancing Docked Bicycle Sharing System with Approximate Dynamic Programming and Reinforcement Learning

    Rebalancing Docked Bicycle Sharing System with Approximate Dynamic Programming and Reinforcement Learning oleh Young-Hyun Seo, Dong-Kyu Kim, Seungmo Kang, Young-Ji Byon, Seung-Young Kho

    Diterbitkan 2022-01-01
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  9. 9
    DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracy

    DEEPOMICS FFPE, a deep neural network model, identifies DNA sequencing artifacts from formalin fixed paraffin embedded tissue with high accuracy oleh Dong-hyuk Heo, Inyoung Kim, Heejae Seo, Seong-Gwang Kim, Minji Kim, Jiin Park, Hongsil Park, Seungmo Kang, Juhee Kim, Soonmyung Paik, Seong-Eui Hong

    Diterbitkan 2024-01-01
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