GIS-based ensemble computational models for flood susceptibility prediction in the Quang Binh Province, Vietnam
Recently, floods are occurring more frequently every year around the world due to increased
anthropogenic activities and climate change. There is a need to develop accurate models for …
anthropogenic activities and climate change. There is a need to develop accurate models for …
GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam
HD Nguyen - Earth Science Informatics, 2022 - Springer
Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
Flood risk management in many countries employs flood susceptibility modeling to mitigate …
[HTML][HTML] Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques
BT Pham, A Jaafari, T Van Phong, HPH Yen… - Geoscience …, 2021 - Elsevier
Improving the accuracy of flood prediction and mapping is crucial for reducing damage
resulting from flood events. In this study, we proposed and validated three ensemble models …
resulting from flood events. In this study, we proposed and validated three ensemble models …
Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
HD Nguyen - Journal of Water and Climate Change, 2023 - iwaponline.com
The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …
Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling
This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …
Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS
Flood is one of the most devastating natural disasters that occur frequently in Terengganu,
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …
Malaysia. Recently, ensemble based techniques are getting extremely popular in flood …
Application of hybrid model-based deep learning and swarm‐based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Flooding is a serious natural hazard. It causes considerable impact on human life, the
environment, and property, worldwide. Building a highly accurate flood susceptibility map …
environment, and property, worldwide. Building a highly accurate flood susceptibility map …
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
Flooding is a very common natural hazard that causes catastrophic effects worldwide.
Recently, ensemble-based techniques have become popular in flood susceptibility …
Recently, ensemble-based techniques have become popular in flood susceptibility …
Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS
Flood is one of the natural hazards which occur all over the world and it is critical to be
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …
controlled through proper management. Severe flood events in Kelantan, Malaysia cause …
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques
M Shafapour Tehrany, F Shabani… - … , Natural Hazards and …, 2017 - Taylor & Francis
The aim of this research was to evaluate the predictive performances of frequency ratio (FR),
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …