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Pirzada Mohammad Haris on Muck Rack

Pirzada Mohammad Haris

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Articles

GIS-based landslide hazard zonation and risk mapping along NH-9 in the Himalaya using ensemble machine learning and ANN models

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By Tariq Siddique, Khyati Gupta, Atif Ahamad, Pirzada Mohammad Haris, Mohammed Sazid
| Nature Verified
Abstract This study evaluates and compares the performance of machine learning (ML) algorithms, namely Random Forest (RF), Logistic Regression (LR), Decision Tree (DT) and Multilayer Perceptron (MLP) for delineating high-resolution landslide hazard and risk maps along a section of National Highway-9 (NH-9) in Uttarakhand, India.
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