Open Access
| Issue |
ITM Web Conf.
Volume 70, 2025
2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
|
|
|---|---|---|
| Article Number | 04026 | |
| Number of page(s) | 8 | |
| Section | AI and Advanced Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257004026 | |
| Published online | 23 January 2025 | |
- S. N. A. Abdulrahman, S. N. A. Nassir, A. Saad, Earthquakes magnitude predication using artificial neural network in northern Red Sea area. Journal of King Saud University - Science. 24, 301-313 (2012) [CrossRef] [Google Scholar]
- E. Florido, J. L. Aznarte, A. Morales-Esteban, and M. A. Francisco, Earthquake magnitude prediction based on artificial neural networks. Croatian Operational Research Review. 7, 159-169 (2016) [Google Scholar]
- S. M. Mousavi, G. C. Beroza, A machine learning approach for earthquake magnitude estimation. Advancing Earth and Space Science research letter. 47, e2019GL085976 (2020) [Google Scholar]
- A. Bhatia, S. Pasari, A. Mehta, Earthquake forecasting using artificial neural networks. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 48, 823-827 (2018) [Google Scholar]
- M. Bath, Earthquake magnitude — recent research and current trends. Earth-Science Reviews. 17, 315-398 (1981) [CrossRef] [Google Scholar]
- Y. Zhang, H. V. Burton, H. Sun, M. Shokrabadi, A machine learning framework for assessing post-earthquake structural safety. Structural Safety. 72, 1-16 (2018) [CrossRef] [Google Scholar]
- K. Fauvel, D. Balouek-Thomert, D. Melgar, P. Silva, A. Simonet, G. Antoniu, A. Costan, V. Masson, M. Parashar, I. Rodero, A. Termier, A distributed multi-sensor machine learning approach to earthquake early-warning, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Association for the Advancement of Artificial Intelligence, (2020), 403–411 [Google Scholar]
- K. Y. Hsu, H. Y. Li, D. Psaltis, Holographic implementation of a fully connected neural network. Proceedings of the IEEE. 78, 1637-1645 (1990) [CrossRef] [Google Scholar]
- A. Gupta, B. Sharma, P. Chingtham, Forecast of Earthquake Magnitude for NorthWest (NW) Indian Region Using Machine-Learning Techniques, International Conference on Entrepreneurship, Innovation, and Leadership, Singapore: Springer Nature Singapore, (2023) 361–376 [Google Scholar]
- S. Suthaharan, Machine Learning Models and Algorithms for Big Data Classification. Integrated Series in Information Systems. 36, 1-12 (2016) [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.