TH2.B2.4
RNN-DAS: A NEW DEEP LEARNING APPROACH FOR DETECTION AND REAL-TIME MONITORING OF VOLCANO-TECTONIC EVENTS USING DISTRIBUTED ACOUSTIC SENSING
Javier Fernández-Carabantes, Manuel Titos, Universidad de Granada, Spain; Luca D'Auria, INVOLCÁN, Spain; Jesús García, Luz García, Carmen Benítez Ortúzar, Universidad de Granada, Spain
Session:
TH2.B2: Societal Impacts: Risk and Disaster Management Oral
Track:
Societal Engagement and Impacts
Location:
Boulevard: Room B2
Presentation Time:
Thursday, 7 August, 11:15 - 11:30
Session Chair:
Jesús García Sánchez, University of Granada
Presentation
Discussion
Resources
No resources available.
Session TH2.B2
TH2.B2.1: DAILY INUNDATION EXTENT FORECASTING FOR THE HKH FROM SENTINEL-1 SAR AND RIVER DISCHARGE DATA
Franz J Meyer, Kas Knicely, Victor Devaux-Chupin, University of Alaska Fairbanks, United States
TH2.B2.2: EARLY WARNING OF TSUNAMIS INTEGRATING ANOMALY DETECTION INFORMATION FROM HFSWR AND GNSS
Menghua Jiang, Yonggang Ji, Ruozhao Qu, Yahui Chen, China University of Petroleum (East China), China; Changjun Yu, Harbin Institute of Technology at Weihai, China
TH2.B2.3: Refining Residents Evacuation Prediction Model: A Data-Driven Approach to Improve Accuracy Based on Objective Evaluation Metrics
Akira Matsuki, Keisuke Ikeda, Kenta Senzaki, Masahiro Tani, NEC Corporation, Japan; Michinori Hatayama, Kyoto University, Japan
TH2.B2.4: RNN-DAS: A NEW DEEP LEARNING APPROACH FOR DETECTION AND REAL-TIME MONITORING OF VOLCANO-TECTONIC EVENTS USING DISTRIBUTED ACOUSTIC SENSING
Javier Fernández-Carabantes, Manuel Titos, Universidad de Granada, Spain; Luca D'Auria, INVOLCÁN, Spain; Jesús García, Luz García, Carmen Benítez Ortúzar, Universidad de Granada, Spain
Resources
No resources available.