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Penerbitan: 5 tertinggi

  1. Jebur, M.N., Pradhan*, B., Shafri, H.Z.M., Tehrany, M.S., (2014). “An integrated user-friendly ArcMAP tool for bivariate statistical modeling in geoscience applications”. Geoscientific Model Development (ISI, IF: 6.1), (Published online) http://www.geosci-model-dev-discuss.net/7/7239/2014/gmdd-7-7239-2014.html http://dx.doi.org/10.5194/gmdd-7-7239-2014
  2. Jebur, M.N., Pradhan*, B., Tehrany, M.S., (2014). “Optimization of landslide conditioning factors using very high-resolution airborne laser (LiDAR) scanning data at catchment scale”. Remote Sensing of Environment (ISI, IF: 5.2), vol. 152, no. Sept 2014, pp. 150-165 http://dx.doi.org/10.1016/j.rse.2014.05.013
  3. Jebur, M.N., Pradhan, B., Tehrany, M.S, Manifestation Of Lidar-Derived Parameters In The Spatial Prediction Of Landslides Using Novel Ensemble Evidential Belief Functions And Support Vector Machine Models In GIS, (2014), IEEE Journal Of Selected Topics In Applied Earth Observations And Remote Sensing, IF=2.827,  Q1
  4. Saeidi, V., Pradhan, B*., Idrees, M.O., Latif, Z.A. (2014) “Fusion of Airborne LiDAR with Multispectral SPOT 5 Image for Enhancement of Feature Extraction Using Dempster-Shafer Theory’. IEEE Transactions on Geoscience and Remote Sensing (ISI, IF=3.467), vol. 52, no. 10, pp. 6017 – 6025. http://dx.doi.org/10.1109/TGRS.2013.2294398
  5. Pradhan, B., Lee, S.Landslide Susceptibility Assessment And Factor Effect Analysis: Backpropagation Artificial Neural Networks And Their Comparison With Frequency Ratio And Bivariate Logistic Regression Modelling(2010) Environmental Modelling And Software, 25 (6), Pp. 747-759. Cited 126 Times. DOI: 10.1016/J.Envsoft.2009.10.016

Kemaskini Terakhir : Mon, 05 Oct 2015 (snadzah)