Претрага
78 items
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Monitoring of erosion in the area of Đavolja Varoš: Project “MEĐA”
Đurić Uroš, Pejić Marko, Marjanović Miloš, Đurić Dragana, Krušić Jelka. "Monitoring of erosion in the area of Đavolja Varoš: Project “MEĐA”" in Abstract Book 17th Serbian Geological Congress, May 17‐20, Vrnjačka Banja 2, Beograd:Srpsko geološko društvo (2018): 780-785
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Landslide susceptibility assessment using SVM machine learning algorithm
Marjanović Miloš, Kovačević Miloš, Bajat Branislav, Voženilek Vít. "Landslide susceptibility assessment using SVM machine learning algorithm" in Engineering Geology 123 no. 3, Amsterdam, Netherlands:Elsevier (2011): 225-234. https://doi.org/10.1016/j.enggeo.2011.09.006
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Impact of geo-environmental factors on landslide susceptibility using an AHP method: A case study of Fruška Gora Mt, Serbia
Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Bogdanović Snežana. "Impact of geo-environmental factors on landslide susceptibility using an AHP method: A case study of Fruška Gora Mt, Serbia" in Geološki anali Balkanskoga poluostrva 74, Beograd, Srbija:Rudarsko-geološki fakultet i Institut za regionalnu geologiju i paleontologiju, Beograd (2013): 91-100. https://doi.org/10.2298/GABP1374091M
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A Geotechnical model of the Umka landslide with reference to landslides in weathered Neogene marls in Serbia
Abolmasov Biljana, Milenković Svetozar, Marjanović Miloš, Đurić Uroš, Jelisavac Branko. "A Geotechnical model of the Umka landslide with reference to landslides in weathered Neogene marls in Serbia" in Landslides 12 no. 4, Berlin, Germany:Springer (2015): 689-702. https://doi.org/10.1007/s10346-014-0499-4
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Landslide Assessment of Starča Basin (Croatia) Using Machine Learning Algorithms
Marjanović Miloš, Kovačević Milan, Bajat Branislav, Mihalić Snježana, Abolmasov Biljana. "Landslide Assessment of Starča Basin (Croatia) Using Machine Learning Algorithms" in Acta Geotechnica Slovenica 8 no. 2, Ljubljana, Slovenia:University of Maribor, University of Ljubljana, Slovenian Geotechnical Society (2011): 45-55
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Regional Slope Stability Analysis in Landslide Hazard Assessment Context, North Macedonia Example
Miloš Marjanović, Biljana Abolmasov, Igor Peshevski, James Reeves, Irena Georgievska. "Regional Slope Stability Analysis in Landslide Hazard Assessment Context, North Macedonia Example" in Understanding and Reducing Landslide Disaster Risk, Springer International Publishing (2020). https://doi.org/10.1007/978-3-030-60227-7_29
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Pre-failure deformation monitoring as rockfall prediction tool
Miloš Marjanović, Biljana Abolmasov, Zoran Berisavljević, Marko Pejić, Petko Vranić. "Pre-failure deformation monitoring as rockfall prediction tool" in IOP Conference Series: Earth and Environmental Science, IOP Publishing (2021). https://doi.org/10.1088/1755-1315/833/1/012197
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Long-term rockslope monitoring and rockfall prediction
Miloš Marjanović, Biljana Abolmasov, Marko Pejić, Jelka Krušić. "Long-term rockslope monitoring and rockfall prediction" in Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021, International Association for Engineering Geology and the Environment (2021)
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From post-disaster landslides inventory to open landslides data
Biljana Abolmasov, Miloš Marjanović, Uroš Đurić, Jelka Krušić. "From post-disaster landslides inventory to open landslides data" in Proceedings of 3rd European Regional Conference of IAEG/ Athens/ Greece/ 6-10 October 2021, International Association for Engineering Geology and the Environment (2021)
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Unraveling Innerworkings of Magmatic System Beneath the East Pacific Rise 9º50’N
Milena Marjanović, Suzanne M. Carbotte, Alexandre Stopin, Felix Waldhauser, Satish C. Singh, René-Édouard Plessix, Miloš Marjanović, Malden R. Nedimović, Juan Pablo Canales, Hélène D. Carton, Javier Escartin, John C. Mutter (2021)Milena Marjanović, Suzanne M. Carbotte, Alexandre Stopin, Felix Waldhauser, Satish C. Singh, René-Édouard Plessix, Miloš Marjanović, Malden R. Nedimović, Juan Pablo Canales, Hélène D. Carton, Javier Escartin, John C. Mutter. "Unraveling Innerworkings of Magmatic System Beneath the East Pacific Rise 9º50’N" in AGU Fall Meeting 2021, American Geophysical Union (2021)
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Stabilnost kosina u stenskoj masi - savremeni koncepti i metode proračuna
Zoran Berisavljević, Dušan Berisavljević, Miloš Marjanović. Stabilnost kosina u stenskoj masi - savremeni koncepti i metode proračuna, Beograd : Univerzitet u Beogradu - Rudarsko-geološki fakultet, 2021
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Praktikum iz inženjerske geologije
Miloš Marjanović, Biljana Abolmasov, Uroš Đurić, Jelka Krušić. Praktikum iz inženjerske geologije, Beograd : Univerzitet u Beogradu, Rudarsko-geološki fakultet, 2020
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Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia
Đuric Dragana, Mladenović Ana, Pešić-Georgiadis Milica, Marjanović Miloš, Abolmasov Biljana. "Using multiresolution and multitemporal satellite data for post-disaster landslide inventory in the Republic of Serbia" in Landslides 14 no. 4, :Springer (2017): 1467-1482. https://doi.org/10.1007/s10346-017-0847-2
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Comparison of expert, deterministic and Machine Learning approach for landslide susceptibility assessment in Ljubovija Municipality, Serbia
Krušić Jelka, Marjanović Miloš, Mileva Samarđić-Petrović, Abolmasov Biljana, Andrejev Katarina, Miladiović Aleksandar (2017)Krušić Jelka, Marjanović Miloš, Mileva Samarđić-Petrović, Abolmasov Biljana, Andrejev Katarina, Miladiović Aleksandar. "Comparison of expert, deterministic and Machine Learning approach for landslide susceptibility assessment in Ljubovija Municipality, Serbia" in Geofizika 34 no. 2, Zagreb:Geofizički Institut Andrija Mohorovičić (2017): 251-273. https://doi.org/10.15233/gfz.2017.34.15
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Primena AHP и WoEmetode u proceni podložnosti terena na kliženje za područje opštine Krupanj
Biljana Abolmasov, Jelka Krušić, Katarina Andrejev, Miloš Marjanović, Ranka Stanković, Uroš Đurić (2017)Biljana Abolmasov, Jelka Krušić, Katarina Andrejev, Miloš Marjanović, Ranka Stanković, Uroš Đurić . "Primena AHP и WoEmetode u proceni podložnosti terena na kliženje za područje opštine Krupanj" in Izgradnja, Beograd : Udruženje inženjera građevinarstva, geotehnike, arhitekture i urbanista Izgradnja (2017): 239-246
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The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique
Marjanović Miloš, Krautblatter Michael, Abolmasov Biljana, Đurić Uroš, Sandić Cvjetko, Nikolić Velizar (2018)Marjanović Miloš, Krautblatter Michael, Abolmasov Biljana, Đurić Uroš, Sandić Cvjetko, Nikolić Velizar. "The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique" in Engineering Geology 8 no. 232, :Elsevier (2018): 147-159. https://doi.org/https://doi.org/10.1016/j.engg
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Multihazard Exposure Assessment on the Valjevo City Road Network
Miloš Marjanović, Biljana Abolmasov, Svetozar Milenković, Uroš Đurić, Jelka Krušić, Mileva Samardžić Petrović (2019)Miloš Marjanović, Biljana Abolmasov, Svetozar Milenković, Uroš Đurić, Jelka Krušić, Mileva Samardžić Petrović. "Multihazard Exposure Assessment on the Valjevo City Road Network" in Spatial Modeling in GIS and R for Earth and Environmental Sciences, Elsevier Inc (2019). https://doi.org/10.1016/B978-0-12-815226-3.00031-4.
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Concepts for Improving Machine Learning Based Landslide Assessment
Miloš Marjanović, Mileva Samardžić Petrović, Biljana Abolmasov, Uroš Đurić. "Concepts for Improving Machine Learning Based Landslide Assessment" in Natural Hazards GIS-based Spatial Modeling Using Data Mining Techniques, Advances in Natural and Technological Hazards Research, volume 48, Springer Nature Switzerland AG 2019 (2019). https://doi.org/10.1007/978-3-319-73383-8_2
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Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept
Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, named Cross-Scaling, is proposed that includes the mixing of training and testing set resolutions. Hypothetically, training on a coarser resolution dataset and testing the model on a finer resolution should help the algorithm to better generalize ambiguous examples of landslide classes and yield fewer over/underestimations in the model. This ...Uroš Đurić, Miloš Marjanović, Zoran Radić, Biljana Abolmasov. " Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept" in Engineering Geology , Elsevier (2019). https://doi.org/10.1016/j.enggeo.2019.05.007
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Preliminary regional landslide susceptibility assessment using limited data
Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska (2019)In this paper a heuristic approach for preliminary regional landslide susceptibility assessment using limited amount of data is presented. It is called arbitrary polynomial method and takes into account 5 landslide conditioning parameters: lithology, slope inclination, average annual rainfall, land use and maximum expected seismic intensity. According to the method, in the first stage, a gradation is performed for each of the carefully selected conditioning parameters by assigning so called rating points to the grid cells on which the ...Igor Peshevski, Milorad Jovanovski, Biljana Abolmasov, Jovan Papic, Uroš Đurić, Miloš Marjanović, Ubydul Haque, Natasha Nedelkovska. "Preliminary regional landslide susceptibility assessment using limited data" in Geologica Croatica , Croatian Geological Society (2019). https://doi.org/10.4154/gc.2019.03