Baharin bin Ahmad
Global and Planetary Change · 2012–2020
A researcher in the Science corpus: 10 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 110 citations into it; #8,366 of 10,225 by trust here, #2,355 by citations
- Management, Monitoring, Policy and Law — 106 citations into it; #2,755 of 2,821 by trust here, #368 by citations
- Mechanical Engineering — 43 citations into it
- Safety, Risk, Reliability and Quality — 41 citations into it
- Artificial Intelligence — 40 citations into it
- Water Science and Technology — 35 citations into it
- Environmental Engineering — 27 citations into it
- Atmospheric Science — 20 citations into it
Whom Baharin bin Ahmad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Biswajeet Pradhan
- Saro Lee
- Isik Yilmaz
- Alexander Brenning
- D. Tien Bui
- Andreas Karlsson
- Candan Gokceoglu
Who trusts Baharin bin Ahmad overall
Papers from Baharin bin Ahmad's perspective
Ordered by how strongly the researchers Baharin bin Ahmad 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
- Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
- 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)
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- Landslide susceptibility mapping : A comparison of logistic regression and neural networks methods in a medium scale study, Hendek Region (Turkey)
- Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances (Natural Hazards)
- Artificial Neural Networks applied to landslide susceptibility assessment
- Determination and application of the weights for landslide susceptibility mapping using an artificial neural network
Their papers
- A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers (2020) — 84 citations
- Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran (2020) — 108 citations
- Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier (2020) — 334 citations
- New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed (2019) — 114 citations
- Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019) — 121 citations
- A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment (2018) — 115 citations
- Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods (2018) — 121 citations
- Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018) — 449 citations
- Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran (2015) — 159 citations
- Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation (2012) — 85 citations