Unravelling the Drought Variance Using Machine Learning Methods in Six Capital Cities of Australia
Understanding and projecting drought, especially in the face of climate change, is crucial for assessing its impending risks. However, the causes of drought are multifaceted. As the environmental research paradigm pivots towards machine learning (ML) for predictions, our investigation contrasted mul...
| 出版年: | Atmosphere |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2023-12-01
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| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2073-4433/15/1/43 |