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

2 papers

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…

stat.ML2023

Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection

Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández +1

Network anomaly detection is a very relevant research area nowadays, especially due to its multiple applications in the field of network security. The boost of new models based on…