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IPL Project 210 Massive landsliding in Serbia following Cyclone Tamara in May 2014 progress report
(The International Consortium on Landslides (ICL), Kyoto, 2018)
The IPL project No 210 titled “Massive landsliding in Serbia following Cyclone Tamara in May 2014” started at March 2016. The study area is located in the Western and Central part of the Republic of Serbia territory affected ...
Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments
(MDPI AG, 2018)
The goal of this study is to analyse the predictive performance of the random forest machine learning technique in comparison to commonly used hedonic models based on multiple regression for the prediction of apartment ...
Terrain correction computations using digital density model of topographic masses
(Zvava Geodetov Slovenije, 2018)
This paper presents the determination of terrain correction by the means of the Digital Density Model (DDM) of topographic masses (Earth's crust mass above the geoid) for the territory of Serbia. The DDM is determined using ...
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 ...
Geological, morphologic and pedologic components of the teroir of Smederevka / Geološki, morfološki i pedološki činioci teorara Smederevke
(Srpsko geološko društvo, Beograd, 2018)
Terroir depicts a set of pedologic, micro‐climatic and historical factors that have a say in deciding whether and where to practice viticulture and determines its qualitative and quantitative exploitation potential. For ...
Improving the integration of CGI and photography by matching shadows based on perspective restitution
(Faculty of Technical Sciences, University of Novi Sad - Serbian Society for Geometry and Graphics (SUGIG), 2018)
This paper examines the possibilities of improving fidelity of the rendered 3D model images integration into the given photograph.
This problem is most commonly tackled by designers, architects, and other professionals ...
Spatial Hedonic Modeling of Housing Prices Using Auxiliary Maps
(Berlin Heidelberg: Springer, 2018)
Maintenance of the state survey in the Republic of Montenegro
(Survey Review, 2018)
The paper provides an overview of the maintenance of the state survey, as the foundation for the development of the geodetic infrastructure, real estate cadastre, mapping and the National Spatial Data Infrastructure (NSDI) ...
Sparse regression interaction models for spatial prediction of soil properties in 3D
(Elsevier Ltd, 2018)
An approach for using lasso (Least Absolute Shrinkage and Selection Operator) regression in creating sparse 3D models of soil properties for spatial prediction at multiple depths is presented. Modeling soil properties in ...