Mustafa Neamah Jebur
Geomatics, Natural Hazards & Risk · with Kumar · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
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Papers from Mustafa Neamah Jebur's perspective
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- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
- Comparison of Several Flood Forecasting Models in Yangtze River
- Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
- A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (Arabian Journal of Geosciences)
- Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models
- Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. (Science of the Total Environment)
- A Mathematical Theory of Evidence (A Mathematical Theory of Evidence)
- Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS