Seismic Intensity Estimation for Earthquake Early Warning Using Optimized Machine Learning Model
Author:
Affiliation:
1. National Research Institute of Astronomy and Geophysics (NRIAG), Cairo, Helwan, Egypt
Funder
National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10188919.pdf?arnumber=10188919
Reference76 articles.
1. Deep learning in neural networks: An overview
2. Machine Learning for Fast and Reliable Source-Location Estimation in Earthquake Early Warning
3. INSTANCE – the Italian seismic dataset for machine learning
4. Machine Learning-Based Seafloor Seismic Prestack Inversion
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