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Strength of composite flysch samples under uniaxial compression
(Springer Verlag, 2018)
This paper presents the results of uniaxial compression strength tests performed on samples composed of sandstone and siltstone discs. Samples are loaded until failure, with the aim of determining the dependency between ...
Bounding surface model for overconsolidated clays with new state parameter formulation of hardening rule
(Elsevier Ltd, 2017)
The paper presents a critical state bounding surface constitutive model for describing the behaviour of overconsolidated clays for a wide range of overconsolidation ratios, called the Hardening State Parameter - HASP model. ...
Special-purpose river-port sediment valorization as road construction material emphasizing environmental aspects
(Romanian Journal of Transport Infrastructure, 2020)
Special-purpose river port sediment was investigated for its potential use as a road
construction material. Sediment samples were extracted from three locations in three small
river ports, and detailed laboratory research ...
Using Historical Aerial Photography in Landslide Monitoring: Umka Case Study, Serbia
(MDPI, Basel, Switzerland, 2022)
The application of remote sensing methods provides useful information that can be used for numerous research. Thus, spatial changes in soil, vegetation, hydrography and such can be analyzed. By analyzing the data obtained ...
Landslide susceptibility assessment using SVM machine learning algorithm
(Engineering Geology, 2011)
This paper introduces the current machine learning approach to solving spatial modeling problems in the domain of landslide susceptibility assessment. The latter is introduced as a classification problem, having multiple ...
Instance-based transfer learning for soil organic carbon estimation
(Frontiers in Environmental Science, 2022)
Soil organic carbon (SOC) is a vital component for sustainable agricultural
production. This research investigates the transfer learning-based neural
network model to improve classical machine learning estimation of ...
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 ...
Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements
(Springer Verlag, 2018)
Knowledge of the deformation properties of the rock mass is essential for the stress-strain analysis of structures such as dams, tunnels, slopes, and other underground structures and the most important parameter of the ...
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, ...