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
- Global and Planetary Change — 16 citations into it
- Management, Monitoring, Policy and Law — 16 citations into it
- Mechanical Engineering — 7 citations into it
- Safety, Risk, Reliability and Quality — 6 citations into it
Whom Shattri Mansor trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- 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)
- Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
- 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)
- Artificial Neural Networks applied to landslide susceptibility assessment
- Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models
- Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils (Expert systems with applications)
- Hyperspectral Crop Reflectance Data for characterising and estimating Fungal Disease Severity in Wheat
- 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
- Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN) (2018) — 479 citations
- Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms (2014) — 102 citations