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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, ...
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 ...
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, ...
IPL Project 181: Study of Slow Moving Landslide Umka Near Belgrade, Serbia
(Cham: Springer International Publishing, 2014)
The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique
(Elsevier B.V., 2018)
This paper focuses on modeling rainfall-induced massive landsliding in the Western Serbia in the 2001-2014 period. The motivation for conducting the study was the rainfall-induced flooding and landsliding that took place ...
Rockfall Monitoring Based on Surface Models
(Kluwer Academic Publishers, 2015)
This research addresses surface analysis based on the Terrestrial Laser Scanning data exampled on rockslope site along M-22 highroad near Ljig in Serbia. The slope is about 100 m wide and over 20 m high. The scanning was ...
Stabilization of Low Bearing Soil Using Fly Ash and Chemical Additive Polybond
(Springer Verlag, 2018)
The results of laboratory research of high plasticity clay stabilization using liquid chemical additive Polybond and the fly ash from Serbian thermal electric power plant Kostolac are presented in this paper. In order to ...