Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh
Around the world, catastrophes caused by flooding are occurring naturally that cause a great deal of fatalities and financial loss. The loss of life and property can be considerably reduced with precise flood forecasts. The complexity of many flood predicting techniques makes the results difficult t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025003214 |
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