Using satellite rainfall products to assess the triggering conditions for hydro-morphological processes in different geomorphological settings in China

Hydro-morphological processes (HMP, i.e.all processes contained within the spectrum defined between debris flows and flash floods) initiate in response to intense rainfall events.Efficient HMP hazard assessment over large regions is often hindered because of limited rainfall observations over mountainous areas.Real-time and easily accessible satell

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Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics

Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed.Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and it variants (ID3, C4.5, C5.0 and CART) based on efficiency and perf

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