Recent advances in earthquake seismology using machine learning
Given the recent developments in machine-learning technology, its application has rapidly
progressed in various fields of earthquake seismology, achieving great success. Here, we …
progressed in various fields of earthquake seismology, achieving great success. Here, we …
[HTML][HTML] Most complicated lock pattern-based seismological signal framework for automated earthquake detection
Background Seismic signals record earthquakes and also noise from different sources. The
influence of noise makes it difficult to interpret seismograph signals correctly. This study …
influence of noise makes it difficult to interpret seismograph signals correctly. This study …
Weigh-in-motion system based on an improved kalman and LSTM-attention algorithm
B Shi, Y Jiang, Y Bao, B Chen, K Yang, X Chen - Sensors, 2022 - mdpi.com
A weigh-in-motion (WIM) system continuously and automatically detects an object's weight
during transmission. The WIM system is used widely in logistics and industry due to …
during transmission. The WIM system is used widely in logistics and industry due to …
[HTML][HTML] Earthquake monitoring using deep learning with a case study of the Kahramanmaras Turkey earthquake aftershock sequence
W Li, M Chakraborty, J Köhler, C Quinteros-Cartaya… - Solid Earth, 2024 - se.copernicus.org
Seismic phase picking and magnitude estimation are fundamental aspects of earthquake
monitoring and seismic event analysis. Accurate phase picking allows for precise …
monitoring and seismic event analysis. Accurate phase picking allows for precise …
Exploring a CNN Model for Earthquake Magnitude Estimation using HR-GNSS data
CQ Cartaya, J Koehler, W Li, J Faber… - arXiv preprint arXiv …, 2023 - arxiv.org
High rate Global Navigation Satellite System (HR GNSS) data can be highly useful for
earthquake analysis as it provides continuous high-rate measurements of ground motion …
earthquake analysis as it provides continuous high-rate measurements of ground motion …
Earthquake activity as captured using the network approach
Earthquakes are a major threat to nations worldwide. Earthquake detection and forecasting
are important and timely scientific challenges, not only for their obvious social impacts, but …
are important and timely scientific challenges, not only for their obvious social impacts, but …
[HTML][HTML] Exploring a CNN model for earthquake magnitude estimation using HR-GNSS data
C Quinteros-Cartaya, J Köhler, W Li, J Faber… - Journal of South …, 2024 - Elsevier
Abstract High-rate Global Navigation Satellite System (HR-GNSS) data can be highly useful
for earthquake analysis as it provides continuous high-frequency measurements of ground …
for earthquake analysis as it provides continuous high-frequency measurements of ground …
Comprehensive Analysis of Seismic Signals From Pacaya Volcano Using Deep Learning Event Detection
JL DeVlieg - 2023 - search.proquest.com
Pacaya volcano located 30 km SW of Guatemala City, Guatemala, has been erupting
intermittently since 1961. Monitoring of seismicity is crucial to understanding current activity …
intermittently since 1961. Monitoring of seismicity is crucial to understanding current activity …