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Results 51-60 of 108 (Search time: 0.004 seconds).

  • 2023-10-19
  • Lee, Seungyeop. (2023-10-19). Compensating for Size Effect in Shear Wave Elastography Using Deep Neural Networks. International Conference on Control, Automation and Systems, ICCAS 2023, 1304–1307. doi: 10.23919/ICCAS59377.2023.10316907
  • ICROS (Institute of Control, Robotics and Systems)
  • View : 241
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  • Lee, Kyungbae
  • Lee, Seungyeop
  • Kim, Seunghyeon
  • Eun, Yongsoon
  • 2023-10-18
  • Lee, Kyungbae. (2023-10-18). Reinforcement Learning Approach to Velocity and Position Control of Metro Trains. International Conference on Control, Automation and Systems, ICCAS 2023, 367–370. doi: 10.23919/ICCAS59377.2023.10316793
  • ICROS (Institute of Control, Robotics and Systems)
  • View : 231
  • Download : 0
  • 2023-10-18
  • Kim, Seunghyeon. (2023-10-18). Data Dependency of DeePC Performance: Case Study with Metro Trains. International Conference on Control, Automation and Systems, ICCAS 2023, 379–382. doi: 10.23919/ICCAS59377.2023.10317062
  • ICROS (Institute of Control, Robotics and Systems)
  • View : 133
  • Download : 0
  • 2023-10-18
  • An, Youngwoo. (2023-10-18). Attak Detection in RSU-OBU Communication Using Deep Neural Network. International Conference on Control, Automation and Systems, ICCAS 2023, 585–589. doi: 10.23919/ICCAS59377.2023.10316754
  • ICROS (Institute of Control, Robotics and Systems)
  • View : 210
  • Download : 0
  • 2023-10-18
  • Lee, Jaeho. (2023-10-18). Data-Driven Disturbance Compensation for DC Motors. International Conference on Control, Automation and Systems, ICCAS 2023, 359–360. doi: 10.23919/ICCAS59377.2023.10316964
  • ICROS (Institute of Control, Robotics and Systems)
  • View : 220
  • Download : 0
  • 2023-06-01
  • Eun, Yongsoon. (2023-06-01). Data-Driven Inverse of Linear Systems and Application to Disturbance Observers. 2023 American Control Conference, ACC 2023, 2806–2811. doi: 10.23919/ACC55779.2023.10156256
  • American Automatic Control Council
  • View : 197
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  • 2021-09-17
  • 은용순. 폴-다이나믹 공격을 감지하는 사이버 물리 시스템.
  • View : 158
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  • 2021-12-20
  • 은용순. 시스템 상태 추정 장치 및 방법.
  • View : 138
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  • 2018-07
  • Bouk, Safdar Hussain. (2018-07). LAPEL: Hop Limit Based Adaptive PIT Entry Lifetime for Vehicular Named Data Networks. IEEE Transactions on Vehicular Technology, 67(7), 5546–5557. doi: 10.1109/TVT.2018.2797693
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 1095
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EDOVE: Energy and depth variance-based opportunistic void avoidance scheme for underwater acoustic sensor networks

  • 2017-10
  • Bouk, Safdar Hussain. (2017-10). EDOVE: Energy and depth variance-based opportunistic void avoidance scheme for underwater acoustic sensor networks. Sensors, 17(10). doi: 10.3390/s17102212
  • MDPI AG
  • View : 915
  • Download : 195