Investigating the application of artificial intelligence for earthquake prediction in Terengganu
algorithm; artificial intelligence; earthquake prediction; earthquake recurrence; regression analysis; support vector machine; uncertainty analysis; Malaysia; Terengganu; West Malaysia
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Springer Science and Business Media B.V.
2023
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my.uniten.dspace-260772023-05-29T17:06:36Z Investigating the application of artificial intelligence for earthquake prediction in Terengganu Marhain S. Ahmed A.N. Murti M.A. Kumar P. El-Shafie A. 57222657546 57214837520 24734366700 57206939156 16068189400 algorithm; artificial intelligence; earthquake prediction; earthquake recurrence; regression analysis; support vector machine; uncertainty analysis; Malaysia; Terengganu; West Malaysia Earthquake is one of the devastating and frightening natural disasters that caused big casualties in a small duration. Earthquake caused lots of damage in just a few minutes and the casualties of the earthquake increase as the population increase which also contribute to higher amount of property and buildings. Therefore, by developing model capable of detecting the recurrence behaviour of earthquake helps in predicting earthquake as well as minimizing the casualties caused by the earthquake. In this report, a few of artificial intelligence algorithms such as support vector machine, boosted decision tree regression, random forest and multivariate adaptive regression spline will be used in the development of best model algorithm in earthquake prediction. Meteorological data are collected from several stations in Terengganu and processed for normalization and the data will be analysed using algorithms and its performance will be evaluated. Terengganu is situated on the east coast of Peninsular Malaysia and is bordered on the north-west and south-west by Kelantan and Pahang. Terengganu's east side is bordered by the South China Sea. Terengganu is located within the vicinity of the South China Sea, which is possible to be affected by the Marina Trench Earthquake. The subduction zone of Manila Trench is capable of producing a high magnitude of earthquake activity that can create a deadliest tsunami disaster. Therefore, Terengganu is studied for the investigation of artificial intelligence in earthquake prediction. The model algorithms are then analysed to measure its sensitivity and accuracy in prediction and consistency of the result. � 2021, The Author(s), under exclusive licence to Springer Nature B.V. Final 2023-05-29T09:06:36Z 2023-05-29T09:06:36Z 2021 Article 10.1007/s11069-021-04716-7 2-s2.0-85103681150 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103681150&doi=10.1007%2fs11069-021-04716-7&partnerID=40&md5=784861e1ba54c2ec0e3ceff545be64f4 https://irepository.uniten.edu.my/handle/123456789/26077 108 1 977 999 Springer Science and Business Media B.V. Scopus |
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algorithm; artificial intelligence; earthquake prediction; earthquake recurrence; regression analysis; support vector machine; uncertainty analysis; Malaysia; Terengganu; West Malaysia |
| author2 |
57222657546 |
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57222657546 Marhain S. Ahmed A.N. Murti M.A. Kumar P. El-Shafie A. |
| format |
Article |
| author |
Marhain S. Ahmed A.N. Murti M.A. Kumar P. El-Shafie A. |
| spellingShingle |
Marhain S. Ahmed A.N. Murti M.A. Kumar P. El-Shafie A. Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| author_sort |
Marhain S. |
| title |
Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| title_short |
Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| title_full |
Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| title_fullStr |
Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| title_full_unstemmed |
Investigating the application of artificial intelligence for earthquake prediction in Terengganu |
| title_sort |
investigating the application of artificial intelligence for earthquake prediction in terengganu |
| publisher |
Springer Science and Business Media B.V. |
| publishDate |
2023 |
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1806428131180937216 |
| score |
13.214268 |