Investigating the performance of random oversampling and genetic algorithm integration in meteorological drought forecasting with machine learning
Abstract Drought is one of the most significant natural hazards worldwide, affecting water resources, agriculture, and socio-economic stability. Accurate drought prediction is essential for sustainable water management. However, traditional drought monitoring approaches are limited in dealing with d...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-05-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-07114-x |
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