Optimization strategies for enhanced disaster management
N Venkatanathan - Journal of South American Earth Sciences, 2024 - Elsevier
As a natural disaster, earthquakes pose a significant threat to human life, infrastructure, and
societal stability. To mitigate these risks, earthquake forecasting has the potential to provide …
societal stability. To mitigate these risks, earthquake forecasting has the potential to provide …
Exploring frequency-domain nonstationary of seismic ground motions using evolutionary power spectrum and Archimedean Copula functions
H Su, D Wang, S Xu, L Wang, R Zhu - Soil Dynamics and Earthquake …, 2024 - Elsevier
In this paper, the frequency-domain nonstationarity of seismic ground motions is
investigated using Archimedean Copula functions. To measure the nonstationarity of the …
investigated using Archimedean Copula functions. To measure the nonstationarity of the …
Towards real-time earthquake forecasting in Chile: Integrating intelligent technologies and machine learning
P Govindarajan, N Venkatanathan - Computers and Electrical …, 2024 - Elsevier
This paper proposes an innovative approach towards real-time earthquake forecasting in
Chile by integrating intelligent technologies and machine learning methods. Earthquakes …
Chile by integrating intelligent technologies and machine learning methods. Earthquakes …
[HTML][HTML] Deep Convolutional Neural Network for Accurate Prediction of Seismic Events
A Turarbek, M Bektemesov… - International …, 2023 - search.proquest.com
In recent years, the realm of seismology has witnessed an increased integration of
advanced computational techniques, seeking to enhance the precision and timeliness of …
advanced computational techniques, seeking to enhance the precision and timeliness of …
[HTML][HTML] Monthly Maximum Magnitude Prediction in the North–South Seismic Belt of China Based on Deep Learning
N Mao, K Sun, J Zhang - Applied Sciences, 2024 - mdpi.com
The North–South Seismic Belt is one of the major regions in China where strong
earthquakes frequently occur. Predicting the monthly maximum magnitude is of significant …
earthquakes frequently occur. Predicting the monthly maximum magnitude is of significant …
Exploiting the synergy of SARIMA and XGBoost for spatiotemporal earthquake time series forecasting
Earthquakes are vibrations that occur on the surface of earth, generating fires, ground
shaking, tsunamis, landslides and cracks. These incidents can cause severe damage and …
shaking, tsunamis, landslides and cracks. These incidents can cause severe damage and …
Towards real-time earthquake forecasting in Chile:: Integrating intelligent technologies and machine learning
R Devi D, P Govindarajan, VN - 2024 - dl.acm.org
This paper proposes an innovative approach towards real-time earthquake forecasting in
Chile by integrating intelligent technologies and machine learning methods. Earthquakes …
Chile by integrating intelligent technologies and machine learning methods. Earthquakes …
İzmir'i etkileyebilecek büyük depremlerin makine öğrenimi yöntemleriyle tahmin edilmesi
A Doğan - Yerbilimleri, 2024 - dergipark.org.tr
Deprem, üzerinde yaşadığımız dünya üzerindeki en büyük doğal afetlerdendir. İnsanlık
tarihten günümüze depremlerden dolayı çok sayıda can ve mal kaybı yaşamıştır. Bu nedenle …
tarihten günümüze depremlerden dolayı çok sayıda can ve mal kaybı yaşamıştır. Bu nedenle …
Seismic Microzonation and Future Forecasting of Earthquakes in Western Anatolia through K-Means Clustering Analysis with Magnitude Volatility Detection by …
HN Karakavak, HO Cekim, GO Kadilar, S Tekin - 2024 - researchsquare.com
Western Anatolia stands out as one of the globally active seismic regions. The paleoseismic
history of numerous significant faults in this area, including information about recurrence …
history of numerous significant faults in this area, including information about recurrence …
A Perspective to Disasters and Emerging Technologies for Disaster Management
D Mahajan, S Sharma - … Conference on Cognitive Computing and Cyber …, 2023 - Springer
A disaster is an emergency that leads to extensive damage which is not easy to overcome.
Humans are incapable of avoiding disasters, specifically natural disasters. There are more …
Humans are incapable of avoiding disasters, specifically natural disasters. There are more …