@article { author = {Amezquita-Sanchez, J.P. and Valtierra-Rodriguez, M. and Adeli, H.}, title = {Current efforts for prediction and assessment of natural disasters: Earthquakes, tsunamis, volcanic eruptions, hurricanes, tornados, and floods}, journal = {Scientia Iranica}, volume = {24}, number = {6}, pages = {2645-2664}, year = {2017}, publisher = {Sharif University of Technology}, issn = {1026-3098}, eissn = {2345-3605}, doi = {10.24200/sci.2017.4589}, abstract = {This article presents a state-of-the-art review of di fferent methods, signal and image processing techniques, and statistical analyses used for prediction and assessment of natural disasters including earthquakes, tsunamis, volcanic eruptions, hurricanes, tornadoes, and floods. Application of the big data paradigm to the aforementioned natural disasters is also discussed. The research for increasingly more sophisticated computational models will continue to achieve more accurate predictions of various natural disasters.}, keywords = {Natural disasters,Big data,Prediction,Assessment,Earthquakes,Tsunamis,Volcanic eruptions,Hurricanes,Tornadoes,Floods}, url = {https://scientiairanica.sharif.edu/article_4589.html}, eprint = {https://scientiairanica.sharif.edu/article_4589_b0ee16cdfc25c1b0235159d2c129cacc.pdf} }