[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] Deep artificial intelligence applications for natural disaster management systems: A methodological review
Deep learning techniques through semantic segmentation networks have been widely used
for natural disaster analysis and response. The underlying base of these implementations …
for natural disaster analysis and response. The underlying base of these implementations …
Investigating disaster response for resilient communities through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 …
Effective disaster response is critical for communities to remain resilient and advance the
development of smart cities. Responders and decision-makers would benefit from reliable …
development of smart cities. Responders and decision-makers would benefit from reliable …
[HTML][HTML] Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …
landscapes, infrastructure, and human life. Triggered by factors such as intense …
[PDF][PDF] The suitability mapping of an urban spatial structure for earthquake disaster response using a gradient rain optimization algorithm (GROA)
R Aghataher, H Rabieifar, NN Samany, H Rezayan - Heliyon, 2023 - cell.com
The urban spatial structure has a prominent role in the earthquake response process which
should primarily be assessed in the areas that are most vulnerable to earthquake hazards …
should primarily be assessed in the areas that are most vulnerable to earthquake hazards …
Prospects of utilizing the Korean satellite program for geological disaster detection and analysis
Y Choi, SH Chae, J Lee, JH Choi, SG Lee, Y Choi - Geosciences Journal, 2024 - Springer
The frequency and impact of major geological disasters are increasing worldwide,
highlighting the growing importance of prompt and efficient damage analyses and response …
highlighting the growing importance of prompt and efficient damage analyses and response …
Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western US wildfire season
Effective disaster response is critical for affected communities. Responders and decision-
makers would benefit from reliable, timely measures of the issues impacting their …
makers would benefit from reliable, timely measures of the issues impacting their …
Post Earthquake Disaster Waste Management In Island Countries: Indonesian Case
This study investigates the challenges and strategies of post-disaster waste management in
island countries, with a specific focus on Indonesia, a nation frequently affected by natural …
island countries, with a specific focus on Indonesia, a nation frequently affected by natural …
INDUCED SEISMICITY DATA PREP
C Breton, M Shensky, A Savvaidis - Interpretation, 2024 - library.seg.org
In this paper, we investigated causal factors of induced seismicity in the Permian Basin by
collecting and processing data on reported earthquakes, hydraulic fracture operations and …
collecting and processing data on reported earthquakes, hydraulic fracture operations and …
Detecting Co-Seismic Landslides in GEE using Machine-Learning Algorithms on combined Multispectral and RADAR Imagery
Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to
landscapes, infrastructure, and human life. Triggered by factors such as intense …
landscapes, infrastructure, and human life. Triggered by factors such as intense …