Alev Mutlu
Management, Monitoring, Policy and Law · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 5 citations into it; #1,828 of 2,821 by trust here, #2,400 by citations
- Safety, Risk, Reliability and Quality — 5 citations into it; #823 of 1,220 by trust here, #1,012 by citations
Whom Alev Mutlu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Alev Mutlu overall
Papers from Alev Mutlu's perspective
Ordered by how strongly the researchers Alev Mutlu trusts endorse each paper. Same corpus, a different order for every researcher.
- Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
- 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)
- The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- A comparative study of conventional, ANN black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
- Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy
- Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models
- Multi-attribute Decision Analysis in GIS: Weighted Linear Combination and Ordered Weighted Averaging (Informatica)
- Data Mining Concepts and Techniques