Now showing items 1-3 of 3

    • Deep neural networks for earthquake detection and source region estimation in north-central Venezuela 

      Tous Liesa, Rubén; Alvarado Bermúdez, Leonardo; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Rojas Ulacio, Otilio (2020-10-01)
      Article
      Open Access
      Reliable earthquake detection algorithms are necessary to properly analyze and catalog the continuously growing seismic records. We report the results of applying a deep convolutional neural network, called UPC‐UCV ...
    • Epicentral region estimation using convolutional neural networks 

      Cruz de la Cruz, Stalin Leonel; Tous Liesa, Rubén; Otero Calviño, Beatriz; Alvarado Bermúdez, Leonardo; Mus León, Sergi; Rojas Ulacio, Otilio Jose (Springer Nature, 2022)
      Conference report
      Restricted access - publisher's policy
      Recent works have assessed the capability of deep neural networks of estimating the epicentral source region of a seismic event from a single-station three-channel signal. In all the cases, the geographical partitioning ...
    • Long short-term memory networks for earthquake detection in Venezuelan regions 

      Mus León, Sergi; Gutiérrez Escobar, Norma; Tous Liesa, Rubén; Otero Calviño, Beatriz; Cruz de la Cruz, Stalin Leonel; Llácer Giner, David; Alvarado Bermúdez, Leonardo; Rojas, Otilio (Springer, 2019)
      Conference lecture
      Open Access
      Reliable earthquake detection and location algorithms are necessary to properly catalog and analyze the continuously growing seismic records. This paper reports the results of applying Long Short-Term Memory (LSTM) networks ...