Претрага
189 items
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Preliminary results of the Selanac debris flow modelling in RAMS - a case study
Krušić Jelka, Andrejev Katarina, Abolmasov Biljana, Marjanović Miloš. "Preliminary results of the Selanac debris flow modelling in RAMS - a case study" in Proceeding of the 3rd Regional Symposium on Landslides in the Adriatic-Balkan Region 1, Ljubljana, Slovenia:Geological Survey of Slovenia (2018): 95-100
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Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia
Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Krušić Jelka. "Assessment of landslide-related hazard and risk on the road network of the Valjevo city, Serbia" in Proceedings of the 16th Danube-European Conference on Geotechnical Engineering-Geotechnical hazards and risks: Experiences and practices, Skopje, Republic of Macedonia 1, :Willey Ernst and Sons (2018): 365-370
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Preliminary results of Selanac debris flow modelling in RAMMS
Krušić Jelka, Abolmasov Biljana, Marjanović Miloš, Đurić Dragana. "Preliminary results of Selanac debris flow modelling in RAMMS" in Abstract Book 17th Serbian Geological Congress, May 17‐20, Vrnjačka Banja 2, Beograd:Srpsko geološko društvo (2018): 619-624
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Assessment of landslide susceptibility using expert AHP method for the Ljubovija Municipality
Krušić Jelka, Marjanović Miloš, Andrejev Katarina, Abolmasov Biljana. "Assessment of landslide susceptibility using expert AHP method for the Ljubovija Municipality" in Abstract Book 17th Serbian Geological Congress, May 17‐20, Vrnjačka Banja 2, Beograd:Srpsko geološko društvo (2018): 625-629
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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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Ispitivanje uticaja jona bakra na karakteristike srebrnog praha dobijenog elektrolitičkim taloženjem iz nitratnog rastvora
Ivanović Aleksandra, Dimitrijević Silvana, Marjanović Vesna, Vuković Nikola. "Ispitivanje uticaja jona bakra na karakteristike srebrnog praha dobijenog elektrolitičkim taloženjem iz nitratnog rastvora" in Tehnika 63 no. 5, Beograd:Savez inženjera i tehničara Srbije (2012): 735-739
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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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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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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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Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach
In this work, landslide assessment of the Doboj City area was modeled by combining machine learning and heuristic tools. The machine learning part was used to map the Morphometric factor. i.e. probability of landslides based on relation between the magnitude of events and morphometric parameters: elevation, distance to streams, slope, profile curvature, and aspect. The Random Forest and Support Vector Machines algorithms were implemented in the learning protocol, which included several strategies: balancing of the training/testing set size, algorithm ...Cvjetko Sandić, Miloš Marjanović, Biljana Abolmasov, Radislav Tošić. "Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach" in Journal of Maps, Taylor&Francis (2023). https://doi.org/ 10.1080/17445647.2022.2163199
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Probabilistic analysis of anisotropic rock slope with reinforcement measures
During the construction of E75 highway through Grdelica gorge in Serbia, a major failure occurred in the zone of reinforced rock slope. Excavation was performed in highly anisotropic Paleozoic schist rock formation. The reinforcement consisted of the two rows of micropile wall with pre-stressed anchors. Forces in anchors were monitored with load cells while benchmarks were installed for superficial displacement measurements. The aim of the study is to investigate possible causes of instability considering different probability distributions of the ...Zoran Berisavljević, Dušan Berisavljević, Miloš Marjanović, Svetlana Melentijević. "Probabilistic analysis of anisotropic rock slope with reinforcement measures" in Geomechanics and Engineering (2023). https://doi.org/10.12989/gae.2023.34.3.285
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Failure Estimation of the Majdanpek Open Pit East Face Based on Inverse Velocity Model
The Majdanpek open pit mine south district is currently active mining prospect of copper ore exploitation in eastern Serbia. Its depth is approaching the termination depth and occurrences of large-scale instabilities and global instability of the final pit slope is possible. These can generate catastrophic mass movement inside an area that encloses a regional road route and the Pek River bed which is channelled along the outer contour of the pit. The displacements that were noted in early 2023, in the ...Miloš Marjanović, Stefan Milanović, Nikola Simić, Lazar Kričak. "Failure Estimation of the Majdanpek Open Pit East Face Based on Inverse Velocity Model" in Regional Symposium on Landslides in the Adriatic-Balkan Region, Belgrade, 15-18th May 2024, University of Belgrade, Faculty of Mining and Geology (2024). https://doi.org/10.18485/resylab.2024.6.ch46
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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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Rockfall Monitoring Based on Surface Models
Bogdanović Snežana, Marjanović MIloš, Abolmasov Biljana, Đurić Uroš, Basarić Irena. "Rockfall Monitoring Based on Surface Models" in Surface models for geosciences, Ostrava, Czech Republic:Springer (2015): 37-44. https://doi.org/10.1007/978-3-319-18407-4
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Mechanism and Dynamics of Umka Landslide, Belgrade, Serbia
Abolmasov Biljana, Milenković Svetozar, Jelisavac Branko, Đurić Uroš, Marjanović Miloš. "Mechanism and Dynamics of Umka Landslide, Belgrade, Serbia" in Landslide science for a safer geoenvironment - the international programme on landslides (IPL) 1, Berlin, Germany:Springer (2014): 297-302. https://doi.org/10.1007/978-3-319-04999-1_41
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IPL Project 181: Study of Slow Moving Landslide Umka Near Belgrade, Serbia
Abolmasov Biljana, Milenković Svetozar, Jelisavac Branko, Đurić Uroš, Marjanović Miloš. "IPL Project 181: Study of Slow Moving Landslide Umka Near Belgrade, Serbia" in Landslide science for a safer geoenvironment - the international programme on landslides (IPL) 1, Berlin, Germany:Springer International Publishing (2014): 75-80. https://doi.org/10.1007/978-3-319-04999-1_5
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Portable geotechnics-using android smart phones and tablets for geotechnical filed investigations
Đurić Uroš, Abolmasov Biljana, Petrović Dragana, Marjanović Miloš, Kuzmić Petar. "Portable geotechnics-using android smart phones and tablets for geotechnical filed investigations" in Proceeding of 13th International Multidisciplinary Scientific Conference SGEM 2013, Section-Informatics, Geoinformatics, Cartography and GIS 8 no. 1, Albena, Bulgaria :BASCI (2013): 513-520. https://doi.org/10.5593/sgem2013
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Basic kinematic analysis of rock slope using terrestrial 3D laser scanning on the M-22 highroad pilot site
Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Zečević Snežana, Šušić Vladimir. "Basic kinematic analysis of rock slope using terrestrial 3D laser scanning on the M-22 highroad pilot site" in Proceedings of the EUROCK 2013 – Rock mechanics for resources, Energy and Environment, 23-26. september 2013., Wroclaw, Poland 2 no. 1, Wroclaw, Poland:Taylor&Francis Group London (2013): 679-683