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[HTML][HTML] Earth observation in the emmena region: Sco** review of current applications and knowledge gaps
Earth observation (EO) techniques have significantly evolved over time, covering a wide
range of applications in different domains. The scope of this study is to review the research …
range of applications in different domains. The scope of this study is to review the research …
[HTML][HTML] Evaluating urban flood risk using hybrid method of TOPSIS and machine learning
With the growth of cities, urban flooding has increasingly become an issue for regional and
national governments. The destructive effects of floods are magnified in cities. Accurate …
national governments. The destructive effects of floods are magnified in cities. Accurate …
[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Floods, as a catastrophic phenomenon, have a profound impact on ecosystems and human
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
life. Modeling flood susceptibility in watersheds and reducing the damages caused by …
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
Flash-floods are increasingly recognized as a frequent natural hazard worldwide. Iran has
been among the most devastated regions affected by the major floods. While the temporal …
been among the most devastated regions affected by the major floods. While the temporal …
GIS-based flood hazard map** using relative frequency ratio method: A case study of Panjkora River Basin, eastern Hindu Kush, Pakistan
Flood is the most devastating and prevalent disaster among all-natural disasters. Every year,
flood claims hundreds of human lives and causes damage to the worldwide economy and …
flood claims hundreds of human lives and causes damage to the worldwide economy and …
[HTML][HTML] Flood susceptibility map** through the GIS-AHP technique using the cloud
Flood susceptibility map** is essential for characterizing flood risk zones and for planning
mitigation approaches. Using a multi-criteria decision support system, this study investigated …
mitigation approaches. Using a multi-criteria decision support system, this study investigated …
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
Flood susceptibility projections relying on standalone models, with one-time train-test data
splitting for model calibration, yields biased results. This study proposed novel integrative …
splitting for model calibration, yields biased results. This study proposed novel integrative …
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms
The flooding in Bangladesh during monsoon season is very common and frequently
happens. Consequently, people have been experiencing tremendous damage to properties …
happens. Consequently, people have been experiencing tremendous damage to properties …
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods
The main objective of the present study was to provide a novel methodological approach for
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …
flash flood susceptibility modeling based on a feature selection method (FSM) and tree …