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 …

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 …

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 …

[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 …

[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 …

Exploiting the synergy of SARIMA and XGBoost for spatiotemporal earthquake time series forecasting

A Kaushal, AK Gupta, VK Sehgal - Earth Surface Processes …, 2024 - Wiley Online Library
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 …

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 …

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 …

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 …

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 …