Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms
Floods cause significant loss of life, property damage, and long-term socioeconomic disruptions, with over 100 annual deaths globally. This research addresses the drawbacks of the existing models, such as overfitting effects, inadequate dataset and limited study areas through the adoption of a stack...
Saved in:
| Main Author: | Olusogo Julius Adetunji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sakarya University
2025-06-01
|
| Series: | Sakarya University Journal of Computer and Information Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/en/download/article-file/4548282 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing breast cancer prediction through stacking ensemble and deep learning integration
by: Fatih Gurcan
Published: (2025-02-01) -
Flight delay stacking ensemble prediction model for severe weather
by: SUN Yue, et al.
Published: (2025-03-01) -
Flight delay stacking ensemble prediction model for severe weather
by: SUN Yue, et al.
Published: (2025-03-01) -
Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
by: Gen Long, et al.
Published: (2025-12-01) -
High-Performance stacking ensemble learning for thermoelectric figure-of-merit prediction
by: Yuelin Wang, et al.
Published: (2025-01-01)