Shattri Mansor

Global and Planetary Change · 2014–2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shattri Mansor trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Biswajeet Pradhan
  2. Saro Lee

Papers from Shattri Mansor's perspective

Ordered by how strongly the researchers Shattri Mansor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
  2. Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
  3. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
  4. A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
  5. Artificial Neural Networks applied to landslide susceptibility assessment
  6. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
  7. Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
  8. Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils (Expert systems with applications)
  9. Hyperspectral Crop Reflectance Data for characterising and estimating Fungal Disease Severity in Wheat
  10. Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques

Their papers