Bayes Ahmed

Global and Planetary Change · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bayes Ahmed trusts overall

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

  1. Biswajeet Pradhan
  2. Bryan C. Pijanowski
  3. Peter H. Verburg
  4. David E. Alexander

Papers from Bayes Ahmed's perspective

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

  1. A method to analyse neighbourhood characteristics of land use patterns (Computers, Environment and Urban Systems)
  2. Using neural networks and GIS to forecast land use changes: a Land Transformation Model
  3. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
  4. 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)
  5. Comparing the input, output, and validation maps for several models of land change
  6. Disaster resilience: a bounce back or bounce forward ability?
  7. Disaster mitigation: the concept of vulnerability revisited
  8. The Nature of Statistical Learning Theory
  9. 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)
  10. Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic… (Landslides)

Their papers