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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 ...
Landslide Susceptibility Analysis of Belgrade City Area
(Cham: Springer International Publishing, 2014)
Preliminary Analysis and Monitoring of the Rock Slope on the M-22 Highroad Near Ljig in Serbia, Using LiDAR Data
(Springer International Publishing, Cham, 2015)
In this research terrestrial LiDAR scanning has been used for building high-resolution point clouds of a rock slope site on the M-22 highroad near Ljig in Serbia. The scanning has been conducted in two epochs in the past ...
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 ...
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 ...
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 ...
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 ...
Multihazard Exposure Assessment on the Valjevo City Road Network
(Elsevier, 2019)
Coupling field and satellite data for an event-based landslide inventory
(Taylor and Francis Inc., 2016)
Following the extreme precipitation and flooding, western and central parts of Serbia suffered massive landsliding at unprecedented rates in mid May 2014. Due to a lack of national landslide inventory and institutional ...