所蔵: Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning

Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning

Among the various natural disasters that take place around the world, flood is considered to be the most extensive. There have been several floods in Buz?u river basin, and as a result of this, the area has been chosen as the study area. For the purpose of this research, we applied deep learning and...

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書誌詳細
主要な著者:	Costache R., Pal S.C., Pande C.B., Islam A.R.M.T., Alshehri F., Abdo H.G.
その他の著者:	55888132500
フォーマット:	論文
出版事項:	Springer Science and Business Media Deutschland GmbH 2025
主題:	Romania Deep learning Disasters Entropy Land use Learning algorithms Multilayer neural networks Optimization Rivers Watersheds Buz?u river basin Flood potential Learning neural networks Machine-learning Multilayers perceptrons Optimisations Optimization algorithms River basins Stackings algorithm artificial intelligence flooding machine learning mapping modeling optimization stacking Floods
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Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning

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