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Comparative Analysis of Alternative Solutions of Excavation for Section of Hydropower Tunnel HPP "Dabar"
(Springer Verlag, 2018)
The subject of this paper is a comparative analysis of the alternative solutions for the construction of the supply tunnel section of HPP "Dabar" from km 4 + 272.54 to km 12 + 125.0 with the application of TBM technology, ...
Development of new composites made of waste materials for wood pallet element
(Springer International Publishing, 2017)
The recycling of waste products and its further use for new products is of the utmost importance nowadays. The quantities of waste product originating from industries involving plastics, paper, wood, textile and metal ...
Simplified method for generating slope seismic deformation hazard curve
(Elsevier Ltd, 2015)
A simplified method for generating slope deformation hazard curve that takes into account the variations of input parameters is presented in this paper. The main assumption in the new approach is that the occurrence of ...
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 ...
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 ...
Stability of granular material during elasto-plastic deformation under triaxial stress states
(TTEM journal / Tecnics Technologies Education Management, 2014)
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)
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, ...
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, ...