[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …
environment, geological hazards tend to wreak havoc on the environment and human …
[HTML][HTML] Innovations in earthquake risk reduction for resilience: Recent advances and challenges
Abstract The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights
the importance of scientific research, supporting the 'availability and application of science …
the importance of scientific research, supporting the 'availability and application of science …
A deep neural network framework for real‐time on‐site estimation of acceleration response spectra of seismic ground motions
Various earthquake early warning (EEW) methodologies have been proposed globally for
speedily estimating information (ie, location, magnitude, ground‐shaking intensities, and/or …
speedily estimating information (ie, location, magnitude, ground‐shaking intensities, and/or …
[HTML][HTML] Early detection of earthquakes using iot and cloud infrastructure: A survey
Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a …
[HTML][HTML] A Likert scale-based model for benchmarking operational capacity, organizational resilience, and disaster risk reduction
G Pescaroli, O Velazquez, I Alcántara-Ayala… - International Journal of …, 2020 - Springer
Likert scales are a common methodological tool for data collection used in quantitative or
mixed-method approaches in multiple domains. They are often employed in surveys or …
mixed-method approaches in multiple domains. They are often employed in surveys or …
[HTML][HTML] Investigating the potential effectiveness of earthquake early warning across Europe
Here we assess the potential implementation of earthquake early warning (EEW) across
Europe, where there is a clear need for measures that mitigate seismic risk. EEW systems …
Europe, where there is a clear need for measures that mitigate seismic risk. EEW systems …
[HTML][HTML] Analysis of earthquake forecasting in India using supervised machine learning classifiers
P Debnath, P Chittora, T Chakrabarti, P Chakrabarti… - Sustainability, 2021 - mdpi.com
Earthquakes are one of the most overwhelming types of natural hazards. As a result,
successfully handling the situation they create is crucial. Due to earthquakes, many lives can …
successfully handling the situation they create is crucial. Due to earthquakes, many lives can …
[HTML][HTML] Chinese Nationwide Earthquake Early Warning System and Its Performance in the 2022 Lushan M6.1 Earthquake
C Peng, P Jiang, Q Ma, J Su, Y Cai, Y Zheng - Remote Sensing, 2022 - mdpi.com
As one of the most earthquake-prone regions in the world, China faces extremely serious
earthquake threats, especially for those heavily populated urban areas located near large …
earthquake threats, especially for those heavily populated urban areas located near large …
“Shaking in 5 Seconds!”—Performance and user appreciation assessment of the earthquake network smartphone‐based public earthquake early warning system
Public earthquake early warning systems have the potential to reduce individual risk by
warning people of approaching tremors, but their development has been hampered by …
warning people of approaching tremors, but their development has been hampered by …
Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data
In a recent study, we showed that convolutional neural networks (CNNs) applied to network
seismic traces can be used for rapid prediction of earthquake peak ground motion intensity …
seismic traces can be used for rapid prediction of earthquake peak ground motion intensity …