Претрага
486 items
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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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Geodiversity assessment in urban areas
Ilić Marina, Stojković Sanja, Rundić Ljupko, Ćalić Jelena & Sandić Dejan. "Geodiversity assessment in urban areas" in 19th EGU General Assembly, EGU2017, Vienna, Austria:European Geosciences Union (2017): 1553-1553
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Mitigating hydrate formation in onshore gas wells: A case study on optimization techniques and prevention
Gas wells, particularly those situated onshore, play a vital role in the global energy sector by supplying a significant portion of natural gas. However, operational challenges, notably gas hydrate formation, pose substantial issues, leading to complications such as flowline blockages and unexpected well shutdowns. Gas hydrates, crystalline structures resembling ice, ...Gas Well, Gas Hydrate Formation, Well Modeling, Well Performance Optimization, Choke Position Adjustments, Methanol InjectionMilica Ješić, Bojan Martinović, Stefan Stančić, Miroslav Crnogorac, Dušan Danilović. "Mitigating hydrate formation in onshore gas wells: A case study on optimization techniques and prevention" in Underground Mining Engineering, Beograd : Rudarsko-geološki fakultet (2023)
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Conventional and machine learning methods for landslide assessment in GIS
Marjanović Miloš (2014)Marjanović Miloš. Conventional and machine learning methods for landslide assessment in GIS, Olomouc, Cyech Republic:Palacký University in Olomouc"", 2014
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Human reliability assessment approaches and their use in mining
Panić Biljana, Vujošević Mirko, Milutinović Aleksandar. "Human reliability assessment approaches and their use in mining" in XIII International Symposium SymOrg 2012 Innovative Management and Busines Performance 1, Zlatibor:Fakultet organizacionih nauka, Beograd (2012): 376-383
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Thermal Imaging Assessment of Energy Efficiency
Damnjanović Vesna (2017)Damnjanović Vesna. "Thermal Imaging Assessment of Energy Efficiency" in eNergetics2017, 3rd Virtuel International Conference on Science, Technology and management in Energy 2017, Nis, Srbija:Research and Development Centar “ALFATEC” (2017): 169-172
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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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Hydrogeothermal potential of the Belgrade city area, the capital of Serbia-first assessment
Milenić Dejan, Vranješ Ana, Doroslovac Nenad. "Hydrogeothermal potential of the Belgrade city area, the capital of Serbia-first assessment" in Proceedings of the XIII World Renewable Energy Congress- WREC, London, United Kingdom (2014)
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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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Water losses risk assessment: an example from Carpathian karst
Milanović Saša, Stevanović Zoran, Jemcov Igor. "Water losses risk assessment: an example from Carpathian karst" in Environmental Earth Sciences 60 no. 4, New York:Springer (2010): 817-827. https://doi.org/10.1007/s12665-009-0219-x
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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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Effectiveness assessment of agricultural machinery based on fuzzy sets theory
Miodragović Rajko, Tanasijević Miloš, Mileusnić Zoran, Jovančić Predrag. "Effectiveness assessment of agricultural machinery based on fuzzy sets theory" in Expert Systems with Applications 39 no. 10, Oxford, UK:Pergamon (2012): 8940-8946. https://doi.org/DOI: 10.1016/j.eswa.2012.02.01
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Assumptions for Defining the Mine Assessment Procedure with Hybrid Model
Dragan Zlatanović, Milisavljević Vladimir, Tanasijević Miloš. "Assumptions for Defining the Mine Assessment Procedure with Hybrid Model" in Mining and Metalurgy Engineering Bor no. 4, Bor:Mining and Metallurgy Institute, Bor (2013): 49-68
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Risk assessment model of mining equipment failure based on fuzzy logic
D. Petrović, Tanasijević Miloš, V. Milić, Lilić Nikola, Stojadinović Saša, Igor Svrkota. "Risk assessment model of mining equipment failure based on fuzzy logic" in Expert Systems with Applications 41 (2014): 8157-8164
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Techno-economic assessment of cost-effectiveness of Boron minerals exploitation
Vidanović Nebojša, Tokalić Rade, Ognjanović Sasa, Savić Ljiljana, Savić Ljubinko. "Techno-economic assessment of cost-effectiveness of Boron minerals exploitation" in Technics Technologies Education Management / TTEM 6 no. 4, Sarajevo, Bosnia & Herzegovina:DRUNPP, Sarajevo (2011): 1053-1057
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Machine Learning and Landslide Assessment in a GIS Environment
Marjanović Miloš, Bajat Branislav, Abolmasov Biljana, Kovaćević Miloš. "Machine Learning and Landslide Assessment in a GIS Environment" in Geo Computational Analysis and Modeling of Regional Systems, Part of Advances in Geographic Information Science Book Series (AGIS), :Springer International Publishing (2018): 191-213. https://doi.org/10.1007/978-3-319-59511-5_11
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Qualification of open pit mines based on external risks assessment
Milutinović Aleksandar, Miljanović Igor, Panić Biljana. "Qualification of open pit mines based on external risks assessment" in Proceedings of the XI Balkan Conference on Operations Research BALCOR, 7-11.09.2013. - no. -, Beograd, Zlatibor, Srbija:University of Belgrade, Faculty of Organizational Sciences, Belgrade (2013): 705-709
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Multi-variable assessment of risk in selection of location and the way of open pit mines opening
Vujić Slobodan, Hudej Marjan, Miljanović Igor. "Multi-variable assessment of risk in selection of location and the way of open pit mines opening" in Proceedings of the 5th Balkan Mining Congress BALKANMINE 2011, 18-20.10.2013 - no. -, Ohrid, FYR Macedonia:ELEM, University Goce Delcev, Stip (2013): 1-6. https://doi.org/-
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Relative Landslide Risk Assessment for the City of Valjevo
Andrejev Katarina, Krušić Jelka, Đurić Uroš, Marjanović Miloš, Abolmasov Biljana. "Relative Landslide Risk Assessment for the City of Valjevo" in Advancing Culture of Living with Landslides, Proceedings of 4th World Landslide Forum, Ljubljana 29 May-02 June 2017 3, Berlin:Springer Interantional (2017): 525-523. https://doi.org/DOI 10.1007/978-3-319-53483-1_
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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