EARTHQUAKE FORECASTING USING ARTIFICIAL NEURAL NETWORKS

18 citations as recorded by crossref.

1. Assessment on maximum magnitude of natural and triggered earthquake when water is impounded in the mining pit: A case study in Nui Nho quarry, Vietnam based on gravity and magnetic data X. Bui et al. 10.2205/2020ES000690
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3. Quantifying the current state of earthquake hazards in Nepal S. Pasari et al. 10.1016/j.acags.2021.100058
4. A synoptic view of the natural time distribution and contemporary earthquake hazards in Sumatra, Indonesia S. Pasari et al. 10.1007/s11069-021-04682-0
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8. Predicting the Unpredictable: Advancements in Earthquake Forecasting Using Artificial Intelligence and LSTM Networks . Sevim Bilici et al. 10.1134/S0016793224600693
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10. Graph neural ordinary differential equations for epidemic forecasting X. Yanqin et al. 10.1007/s42486-024-00161-0
11. Towards real-time earthquake forecasting in Chile: Integrating intelligent technologies and machine learning R. Devi D et al. 10.1016/j.compeleceng.2024.109285
12. Contemporary Earthquake Hazards in the West-Northwest Himalaya: A Statistical Perspective through Natural Times S. Pasari & Y. Sharma 10.1785/0220200104
13. Solar activity facilitates daily forecasts of large earthquakes M. Junqueira Saldanha & Y. Hirata 10.1063/5.0096150
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18. The Current State of Earthquake Potential on Java Island, Indonesia S. Pasari et al. 10.1007/s00024-021-02781-4