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Machine Learning and Landslide Assessment in a GIS Environment
(Cham: Springer International Publishing, 2018)
This chapter introduces theoretical and practical aspects for applying GIS and geocomputation methods in landslide assessment problems. Machine Learning techniques in combination with GIS are proven useful for computation ...
Mechanism and Dynamics of Umka Landslide, Belgrade, Serbia
(Cham: Springer International Publishing, 2014)
Catastrophic risks and sustainable development
(Belgrade: University of Belgrade, Faculty of Economics Publishing Centre, 2015)
Landslide susceptibility assessment with machine learning algorithms
(2009 International Conference On Intelligent Networking and Collaborative Systems (Incos 2009), 2009)
Case study addresses NW slopes of Fruska Gora Mountain, Serbia. Landslide activity is quite notorious in this region, especially along the Danube's right river bank, and recently intensified seismicity coupled with atmospheric ...
Stability of granular material during elasto-plastic deformation under triaxial stress states
(TTEM journal / Tecnics Technologies Education Management, 2014)
Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept
(Elsevier, 2019)
Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, ...
IPL Project 181: Study of Slow Moving Landslide Umka Near Belgrade, Serbia
(Cham: Springer International Publishing, 2014)
Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia
(CE/papers, Special Issue: Proceedings of Eurosteel 2018, 2018)
Prediction of concrete dam deformation using artificial neural networks
(Civil-Comp Press, 2015)
The goal of this paper is to assess the effectiveness of using artificial neural networks in the prediction of concrete dam deformation. The aging of dams as a concrete structures poses a significant risk for the environment, ...