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Three-dimensional urban solar potential maps case study of the i-scope project
(Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd, 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 ...
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 ...
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 ...
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, ...