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Foreseeing Large Earthquakes and Tsunamis using Geophysical Data and Machine Learning

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CSS5-IRD :  BLETERY, Quentin / Foreseeing Large Earthquakes and Tsunamis using Geophysical Data and Machine Learning Competencies of  BLETERY, Quentin , senior scientist
UMR Geoazur   Multidisciplinary Environmental Geosciences

citations Google scholar   citations HAL   citations IRD   citations ORCID   HDR report (fr)   Personal home page   software page   UMR Geoazur   web-link ERC EARLI   web-link IGP   _get in touch  
- HDR report 2022 - Où et quand se produisent les grands séismes ? Comment les anticiper ? 
                    (Where and when do major earthquakes occur? How can they be anticipated?)

- Software page includes :
        * PEGSnet:  CNN-based rapid earthquake characterization using Prompt Elasto-Gravity Signals
                                   (https://zenodo.org/records/10495626)
        * PEGSGraph: GNN-based rapid earthquake characterization using prompt elastogravity signals
                                   (https://zenodo.org/records/12751347)
        * E3WS: Earthquake Early Warning starting from 3 seconds of records on a single station with machine learning
                                   (https://zenodo.org/records/7996838)

- web-link ERC EARLI: European starting grant on using AI for tsunami alerting (news in IRD le Mag')
- web-link IGP: the  Geophysical Institute of Peru, research and studies in the field of geophysics since 1922
Below: competencies in black when any are unique to Q. Bletery's profile in the current state of the database

algorithmicsartificial intelligenceartificial neural networkChiledata (gravimetric)data (satellite)data analysisdynamical system /  early warning system /  earthquake alertEcuadorestimator (statistics)extreme eventforecastinggeodesyGeologyGeophysicsGeoscience /  Haiti /  image processingmachine - deep learningmodel (physical scale)MODELLINGmodelling (bayesian)modelling (mathematical)modelling (physics)modelling (predictive)modelling (stochastic processes)monitoring (environmental)monitoring networknatural hazardobservatoryoperational researchPeruPhysicsprobability distributionremote sensingrisk (disaster)risk (seismic - telluric)risk assessmentSDG 11 (Sust. Devel. Goal - Cities)SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems)seismic faultseismic hazardseismological networkseismological stationSeismologysensor observation servicesignal processingSouth Americaspatial dynamicsstatistical physics /  subduction fault (Geology) /  synthetic-aperture radar (SAR)time seriestsunamiUMR Geoazur (Multidisc. Environ. Geosc.)World /

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Last update : 2025-01-27  (id: 80 )

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