1. Reinforcement Learning-Based Design of Temperature-Responsive 4D Printed Composites for Various Target Shapes ORAL DOM
    Lee, S., Kang, S., Yu, J., Shin, J. and Ryu, S.
    KSME Spring and Autumn Conference · Jeju, South Korea · 2025
  2. Data-Driven Framework for Diagnosis of Gastroesophageal Reflux Disease Using Sensor Data and Anomaly Detection ORAL DOM
    Lee, S., Lee, J., Jung, S., Lee, S., Kim, H. M. and Ryu, S.
    KSME Spring and Autumn Conference · Jeju, South Korea · 2024
  3. Data-Driven Optimization of Composition and Process Parameters for Enhanced Mechanical Properties of PP/GF Composites ORAL DOM
    Lee, S., Lee, J., Yang, K., Choi, W. and Ryu, S.
    KSME Spring and Autumn Conference · Jeju, South Korea · 2024
  4. Application of Signal Processing and Machine Learning for Condition Monitoring-Based Fault Diagnosis of Marine Oil Purifier POSTER DOM
    Lee, S., Kim, J., Lee, J. and Lee, T.*
    KSICON Spring Conference · Busan, South Korea · 2022
  5. Development of a Fault Classification Model of Oil Purifier Using Wavelet Packet Decomposition POSTER DOM
    Lee, S., Kim, J., Lee, J., Kim, Y., Kim, S. and Lee, T.*
    PHM Korea 2022 · Seoul, South Korea · 2022
  6. Fault Classification Based on Deep Learning for Condition-Based Maintenance of Fuel Supply System for Ships ORAL DOM
    Kim, J., Lee, S., Lee, J., Kim, Y. and Lee, T.*
    PHM Korea 2022 · Seoul, South Korea · 2022
  7. Development of a Fault Classification Algorithm Based on Supervised Learning with Feature Extraction for Condition-Based Maintenance of Oil Purifier in Ships ORAL DOM
    Lee, S., Kim, J., Lee, J., Kim, Y., Kim, S., Lee, T. and Park, J.*
    Division of Reliability Engineering of KSME Spring Conference · Jeju, South Korea · 2022
  8. Development of a Database and Diagnosis Algorithm for Condition-Based Fault Diagnosis of NBR Seal in Ancillary Equipment of Autonomous Ships ORAL DOM
    Lee, S., Kim, J., Lee, J., Kim, Y., Kim, S. and Lee, T.*
    KSPE Fall Conference · Busan, South Korea · 2021
  9. Database Construction for Condition Monitoring and Failure Prediction of Ancillary Equipment of Autonomous Ship Engine Systems POSTER DOM
    Kim, J., Lee, J., Lee, S., Kim, Y. and Lee, T.*
    PHM Korea 2021 · Jeju, South Korea · 2021
  10. Reliability Analysis of Ancillary Equipment of Autonomous Ship Engine Systems POSTER DOM
    Kim, J., Lee, J., Lee, S., Kim, Y., Shin, W. and Lee, T.*
    Division of Reliability Engineering of KSME Spring Conference · Jeju, South Korea · 2021