A bark beetle infestation predictive model based on satellite data in the frame of decision support system TANABBO R Duriaciova, M Munko, I Barka, M Koren, K Resnerová, J Holusa, ... iForest-Biogeosciences and Forestry 13 (3), 2020 | 19 | 2020 |
The main principles of sunlight analysis based on point cloud data Ľ Gerhátová, M Muňko, B Hroššo, R Ďuračiová, JF Chalachanová 17TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE SGEM 2017 …, 2017 | 2 | 2017 |
Applicability of support vector machines in landslide susceptibility mapping L Karell, M Muňko, R Ďuračiová The Rise of Big Spatial Data, 373-386, 2017 | 2 | 2017 |
Aggregation of uncertain information and its implementation in geographic information systems and spatial databases R Ďuračiová, M Muňko, J Caha Advances and Trends in Geodesy, Cartography and Geoinformatics, 153-158, 2018 | | 2018 |
USABILITY EVALUATION OF CONVOLUTIONAL NEURAL NETWORKS IN ROADS EXTRACTION FROM AERIAL IMAGES M Muňko, R Ďuračiová 17TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE SGEM 2017 …, 2017 | | 2017 |