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...
Saved in:
Main Authors: | Costache R., Pal S.C., Pande C.B., Islam A.R.M.T., Alshehri F., Abdo H.G. |
---|---|
Other Authors: | 55888132500 |
Format: | Article |
Published: |
Springer Science and Business Media Deutschland GmbH
2025
|
Subjects: | |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models
by: Gholami M., et al.
Published: (2024) -
Inventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Data
by: Hamim S.A., et al.
Published: (2024) -
The Evolutionary Convergent Algorithm: A Guiding Path of Neural Network Advancement
by: Hosseini E., et al.
Published: (2025) -
Sediment load forecasting from a biomimetic optimization perspective: Firefly and Artificial Bee Colony algorithms empowered neural network modeling in �oruh River
by: Katipo?lu O.M., et al.
Published: (2025) -
A review of hybrid deep learning applications for streamflow forecasting
by: Ng K.W., et al.
Published: (2024)