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Mapping average annual precipitation in Serbia (1961-1990) by using regression kriging
(Springer-Verlag Wien, 2013)
The appearence of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of meteorological elements over large areas in the applied climatology. The objective of this ...
Machine Learning Techniques for Modelling Short Term Land-Use Change
(MDPI AG, 2017)
The representation of land use change (LUC) is often achieved by using data-driven methods that include machine learning (ML) techniques. The main objectives of this research study are to implement three ML techniques, ...
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 ...
Spatial analysis of the temperature trends in Serbia during the period 1961-2010
(Springer-Verlag Wien, 2015)
The spatial analysis of annual and seasonal temperature trends in Serbia during the period 1961-2010 was carried out using mean monthly data from 64 meteorological stations. Change year detection was achieved using cumulative ...
Crawling the construction web - A machine-learning approach without negative examples
(Applied Artificial Intelligence, 2008)
Professionals and craftsmen in the construction sector make an intensive use of information in their decision-making processes but only make limited use of the abundant information, that is potentially available to them, ...
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) ...
Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure
(Elsevier B.V., 2017)
Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the ...
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 ...
3D urban solar potential maps - case study of the i-SCOPE project
(Belgrade : Vinča Institute of Nuclear Sciences, 2018)
Solar maps as web cartographic products that provide information on solar potential of surfaces on the Earth have been exploited in decision making, awareness raising, and promoting the use of solar energy. Web based solar ...
Recognition of common areas in a web page using a visualization approach
(Artificial Intelligence: Methodology, Systems and Applications, Proceedings, 2002)
Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is ...