most citedRNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

physics.geo-ph2025★ 5 cited

RNN-DAS: A New Deep Learning Approach for Detection and Real-Time Monitoring of Volcano-Tectonic Events Using Distributed Acoustic Sensing

Javier Fernandez-Carabantes, Manuel Titos, Luca D'Auria +3

In this article, we present a novel Deep Learning model based on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells, designed as a real-time Volcano-seismic…