Seungchul Lee

Seungchul Lee

Pohang University of Science and Technology

Assistant Professor

Department of Mechanical Engineering

Research Area

  • #Artificial intelligence
  • #Medicine
  • #Computer science
  • #Biology
  • #Engineering
  • #Materials science
  • #Deep learning
  • #Emergency medicine
  • #Confidence interval
  • #Artificial neural network

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Related papers to
‘ Artificial intelligence ‘ : 10

  • Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble.

    2020/04

    2.3 Impact Factor

    8 citations

    Bayu Adhi Tama, Sun Im, Seungchul Lee

    DOI : 10.1155/2020/9816142

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Statistical hypothesis testing
    • #Feature selection
    • #Coronary heart disease
    • #Particle swarm optimization
    • #Random forest
    • #Cross-validation
    • #Gradient boosting
    • #Classifier (UML)

All papers authored by
‘ Seungchul Lee ’ : 43

  • Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis

    2016/03
    JOURNAL OF SOUND AND VIBRATION

    2.6 Impact Factor

    107 citations

    Lingli Cui, Yu Zhang, Feibin Zhang, Jianyu Zhang, Seungchul Lee

    DOI : 10.1016/J.JSV.2015.10.015

    • #Engineering
    • #Structural engineering
    • #Vibration
    • #Test rig
    • #Defect size
    • #Single impact
    • #Bearing (mechanical)
    • #Vibration response
    • #Nonlinear vibration
    • #Fault severity

Related papers to
‘ Artificial intelligence ‘ : 10

  • Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble.

    2020/04
    BIOMED RESEARCH INTERNATIONAL

    2.3 Impact Factor

    8 citations

    Bayu Adhi Tama, Sun Im, Seungchul Lee

    DOI : 10.1155/2020/9816142

    • #Computer science
    • #Artificial intelligence
    • #Machine learning
    • #Statistical hypothesis testing
    • #Feature selection
    • #Coronary heart disease
    • #Particle swarm optimization
    • #Random forest
    • #Cross-validation
    • #Gradient boosting
    • #Classifier (UML)
  • Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

    2020/01
    IEEE ACCESS

    3.7 Impact Factor

    5 citations

    Kyung Ho Sun, Hyunsuk Huh, Bayu Adhi Tama, Soo Young Lee, Joon Ha Jung, Seungchul Lee

    DOI : 10.1109/ACCESS.2020.3009852

    • #Computer science
    • #Artificial intelligence
    • #Data mining
    • #Artificial neural network
    • #Vibration
    • #Feature extraction
    • #Convolutional neural network
    • #Class (computer programming)
    • #Deep learning
    • #Fault (power engineering)
    • #Feature engineering

Get access to
Contact information

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All papers authored by
‘ Seungchul Lee ’ : 43

  • Vibration response mechanism of faulty outer race rolling element bearings for quantitative analysis

    2016/03
    JOURNAL OF SOUND AND VIBRATION

    2.6 Impact Factor

    107 citations

    Lingli Cui, Yu Zhang, Feibin Zhang, Jianyu Zhang, Seungchul Lee

    DOI : 10.1016/J.JSV.2015.10.015

    • #Engineering
    • #Structural engineering
    • #Vibration
    • #Test rig
    • #Defect size
    • #Single impact
    • #Bearing (mechanical)
    • #Vibration response
    • #Nonlinear vibration
    • #Fault severity
  • Root avoidance of toxic metals requires the GeBP‐LIKE 4 transcription factor in Arabidopsis thaliana

    2017/02
    NEW PHYTOLOGIST

    7.4 Impact Factor

    32 citations

    Deepa Khare, Nobukata Mitsuda, Seungchul Lee, Won-Yong Song, Daehee Hwang, Masaru Ohme-Takagi, Enrico Martinoia, Youngsook Lee, Jae-Ung Hwang

    DOI : 10.1111/NPH.14242

    • #Biology
    • #Ecology
    • #Botany
    • #Oxidative stress
    • #Reactive oxygen species
    • #Shoot
    • #Transcription factor
    • #Cadmium
    • #Rhizosphere
    • #Arabidopsis thaliana
    • #Repressor

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