Seong-Cheol Kim

Seong-Cheol Kim

Seoul National University

Professor

Department of Electrical and Computer Engineering

Research Area

  • #Computer science
  • #Electronic engineering
  • #Algorithm
  • #Communication channel
  • #Radar
  • #Automotive radar
  • #Automotive industry
  • #Continuous-wave radar
  • #Artificial intelligence
  • #Interference (wave propagation)

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Contact information

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Related papers to
‘ Computer science ‘ : 41

  • Deep Learning Based NLOS Identification With Commodity WLAN Devices

    2018/04

    5.3 Impact Factor

    57 citations

    Jeongsik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee, Seong-Cheol Kim

    DOI : 10.1109/TVT.2017.2780121

    • #Computer science
    • #Artificial intelligence
    • #Real-time computing
    • #Communication channel
    • #Wireless
    • #Bandwidth (signal processing)
    • #Input/output
    • #Data modeling
    • #Deep learning
    • #Recurrent neural network
    • #Channel state information

All papers authored by
‘ Seong-Cheol Kim ’ : 56

  • Deep Learning Based NLOS Identification With Commodity WLAN Devices

    2018/04
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

    5.3 Impact Factor

    57 citations

    Jeongsik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee, Seong-Cheol Kim

    DOI : 10.1109/TVT.2017.2780121

    • #Computer science
    • #Artificial intelligence
    • #Real-time computing
    • #Communication channel
    • #Wireless
    • #Bandwidth (signal processing)
    • #Input/output
    • #Data modeling
    • #Deep learning
    • #Recurrent neural network
    • #Channel state information

Related papers to
‘ Computer science ‘ : 41

  • Deep Learning Based NLOS Identification With Commodity WLAN Devices

    2018/04
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

    5.3 Impact Factor

    57 citations

    Jeongsik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee, Seong-Cheol Kim

    DOI : 10.1109/TVT.2017.2780121

    • #Computer science
    • #Artificial intelligence
    • #Real-time computing
    • #Communication channel
    • #Wireless
    • #Bandwidth (signal processing)
    • #Input/output
    • #Data modeling
    • #Deep learning
    • #Recurrent neural network
    • #Channel state information
  • Human–vehicle classification using feature-based SVM in 77-GHz automotive FMCW radar

    2017/07
    IET RADAR SONAR AND NAVIGATION

    1.8 Impact Factor

    27 citations

    Seongwook Lee, Young-Jun Yoon, Jae-Eun Lee, Seong-Cheol Kim

    DOI : 10.1049/IET-RSN.2017.0126

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Support vector machine
    • #Automotive industry
    • #Classification methods
    • #Feature based
    • #Radar cross-section
    • #Radar systems
    • #Data validation
    • #Continuous-wave radar

Get access to
Contact information

Log in

All papers authored by
‘ Seong-Cheol Kim ’ : 56

  • Deep Learning Based NLOS Identification With Commodity WLAN Devices

    2018/04
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

    5.3 Impact Factor

    57 citations

    Jeongsik Choi, Woong-Hee Lee, Jae-Hyun Lee, Jong-Ho Lee, Seong-Cheol Kim

    DOI : 10.1109/TVT.2017.2780121

    • #Computer science
    • #Artificial intelligence
    • #Real-time computing
    • #Communication channel
    • #Wireless
    • #Bandwidth (signal processing)
    • #Input/output
    • #Data modeling
    • #Deep learning
    • #Recurrent neural network
    • #Channel state information
  • Human–vehicle classification using feature-based SVM in 77-GHz automotive FMCW radar

    2017/07
    IET RADAR SONAR AND NAVIGATION

    1.8 Impact Factor

    27 citations

    Seongwook Lee, Young-Jun Yoon, Jae-Eun Lee, Seong-Cheol Kim

    DOI : 10.1049/IET-RSN.2017.0126

    • #Computer science
    • #Artificial intelligence
    • #Computer vision
    • #Pattern recognition
    • #Support vector machine
    • #Automotive industry
    • #Classification methods
    • #Feature based
    • #Radar cross-section
    • #Radar systems
    • #Data validation
    • #Continuous-wave radar

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