Ditapis dengan
Machine learning technique in the north zagros earthquake prediction
Studying the changes in seismicity, and the potential of the occurrences of large earthquakes in a seismic zone is not only extremely important from the aspect of seismological research, but it is additionally significant in the decisions of crisis management. Since, nowadays Machine learning techniques have proven the high ability for analyzing information, and discovering the relations among …
- Edisi
- Vol.22, June 2024
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 9 hlm PDF, 2.915 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Quantifying the current state of earthquake hazards in Nepal
Quantitative estimates of present-day earthquake hazard in major cities are essential for effective policymaking, community development, and seismic risk reduction. In this study, we develop a statistical analysis of natural times in Nepal to compute earthquake potential score (EPS) that describes the current level of seismic progression of a city through irregular repetitive cycle of regional …
- Edisi
- Vol.10, June 2021
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 8 hlm PDF, 2.643 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
Development of a monitoring system for ionospheric TEC variability before the…
Total Electron Content (TEC) in the ionosphere changes before an earthquake and is one of the important parameters in the study of earthquake precursors. Monitoring of TEC in real-time may prove an excellent input for the effective precursory study of earthquakes. In the present study, a Monitoring system was developed to integrate TEC, geomagnetic storm, and solar flare data and to carry out a…
- Edisi
- Vol.9, March 2021
- ISBN/ISSN
- 2590-1974
- Deskripsi Fisik
- 7 hlm PDF, 2.761 KB
- Judul Seri
- Applied Computing and Geoscience - Open Access
- No. Panggil
- 551.136
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