Browsing by Author "Mus León, Sergi"

Now showing items 1-4 of 4

    • Deep Learning for earthquake detection 

      Mus León, Sergi (Universitat Politècnica de Catalunya, 2021-07-08)
      Bachelor thesis
      Open Access
      Covenantee:   Barcelona Supercomputing Center
      The creation of accurate ground motion models can only be achieved with the help ofvast amounts of labelled data. The manual cataloging makes the processing of this data.The project proposes the automation of the labeling ...

    • 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 ...

    • Privacy preserving deep learning framework in fog computing 

      Gutiérrez Escobar, Norma; Rodríguez Luna, Eva; Mus León, Sergi; Otero Calviño, Beatriz; Canal Corretger, Ramon (Springer, 2020)
      Conference report
      Open Access
      Nowadays, the widespread use of mobile devices has raised serious cybersecurity challenges. Mobile services and applications use deep learning (DL) models for the modelling, classification and recognition of complex data, ...