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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, ...
Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm
(Institute of geoinformatics VŠB - Technical University of Ostrava, 2013)
This paper treats development issues of the suburban areas of Belgrade city. A considerable growth that the city had experienced has led to excessive consumption of land and also to degradation of the landscape and loss ...
Basic kinematic analysis of rock slope using terrestrial 3D laser scanning on the M-22 highroad pilot site
(Taylor & Francis Group, London, 2013)
Terrestrial laser scanning has propelled recent advancements in rock slope engineering. Building models with millions of points to discretize an actual slope has provided resolutions which empower computerbased ...
Tracking of Slow Moving Landslide by Photogrammetric Data - Case Study
(Taylor & Francis Group, 2012)
Aerial photography is a very powerful tool for monitoring of slow moving landslides over
periods lasting for decades. They offer a synoptic view of landslide morphology and activity changing at different time intervals.This ...
Governing parameter method for numerical integration of constitutive models for clays
(NUMGE 2018, 2018)
Governing Parameter Method (GPM) is robust, accurate and efficient method for stresses calculation from given strains within incremental inelastic analysis. GPM is implicit stress point algorithm and basic step is to express ...
IPL Project 181: Study of Slow Moving Landslide Umka Near Belgrade, Serbia
(Cham: Springer International Publishing, 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, ...
Mechanism and Dynamics of Umka Landslide, Belgrade, Serbia
(Cham: Springer International Publishing, 2014)
Stability of granular material during elasto-plastic deformation under triaxial stress states
(TTEM journal / Tecnics Technologies Education Management, 2014)