We propose a smart grid fiber sensing approach based on a Bi-GRU model with an attention mechanism for earthquake early warnings exploiting terrestrial optical networks. Model training and testing use realistic synthetic earthquake waves.
Earthquake Early Warning through Terrestrial Optical Networks: A Bi-GRU Attention Model Approach on SOP Data / Usmani, Fehmida; Awad, Hasan; Virgillito, Emanuele; Bratovich, Rudi; Straullu, Stefano; Aquilino, Francesco; Proietti, Roberto; Pastorelli, Rosanna; Curri, Vittorio. - ELETTRONICO. - Tu3J.2:(2024). (Intervento presentato al convegno Optical Fiber Conference (OFC) tenutosi a San Diego, California (United States) nel 24–28 March 2024) [10.1364/OFC.2024.Tu3J.2].
Earthquake Early Warning through Terrestrial Optical Networks: A Bi-GRU Attention Model Approach on SOP Data
Fehmida Usmani;Hasan Awad;Emanuele Virgillito;Roberto Proietti;Vittorio Curri
2024
Abstract
We propose a smart grid fiber sensing approach based on a Bi-GRU model with an attention mechanism for earthquake early warnings exploiting terrestrial optical networks. Model training and testing use realistic synthetic earthquake waves.File | Dimensione | Formato | |
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OFC2023___ML__EarthQuake_Detection_new.pdf
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Virgillito-Earthquake.pdf
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https://hdl.handle.net/11583/2986406