2022 RISE.ML Consortium Annual Meeting
페이지 정보
작성자 admin 댓글 0건 조회 72회 작성일 22-11-08 15:44본문
---- Presentation Title ----
Automatic Horizon Tracking Based on Semi-Supervised Multi-Task Learning (Saleem Asghar)
Effective generation of training data in machine learning-based seismic full-waveform inversion for real-time monitoring in CCS field (Sooyoon Kim)
Application of ML-based traces-to-trace interpolation to a cross-streamer wavefield reconstruction (Zeu Yeeh)
ML-based seismic data interpolation for consecutive missing (Jiho Park)
Seismic intensity estimation using machine learning for on-site Earthquake Early Warning (EEW) (Sungmyung Bae)
Deep learning-based phase picking of P and S waves for distributed acoustic sensing data (Yonggyu Choi)
Imaging subsurface structure over the fault using P waves extracted from urban traffic noise (Youngseok Song)
Automatic Horizon Tracking Based on Semi-Supervised Multi-Task Learning (Saleem Asghar)
Effective generation of training data in machine learning-based seismic full-waveform inversion for real-time monitoring in CCS field (Sooyoon Kim)
Application of ML-based traces-to-trace interpolation to a cross-streamer wavefield reconstruction (Zeu Yeeh)
ML-based seismic data interpolation for consecutive missing (Jiho Park)
Seismic intensity estimation using machine learning for on-site Earthquake Early Warning (EEW) (Sungmyung Bae)
Deep learning-based phase picking of P and S waves for distributed acoustic sensing data (Yonggyu Choi)
Imaging subsurface structure over the fault using P waves extracted from urban traffic noise (Youngseok Song)
첨부파일
- 2022_Introduction.pdf (1.0M) 15회 다운로드 | DATE : 2022-11-09 14:03:30
댓글목록
등록된 댓글이 없습니다.