Претрага
119 items
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Strategic Environmental Assessment in the Application of Preventive Protection for Wind Farm Noise—Case Study: Maestrale Ring Wind Farm
Determining the spatial position of wind turbines is the initial and most important phase in the development of a wind farm project. In this sensitive phase, all potential problems that may arise in the later stages of project development should be prevented by means of spatial and urban planning instruments. This makes it possible to achieve maximum use of the potential of wind in a particular space and, thus, fulfil the technical and economic requirements of the project while ...Energija,energetski inženjering i elektroenergetska tehnologija,obnovljivi izvori energije, održivost i životna sredina,električni i elektronski inženjering,kontrola i optimizacija,inženjering... Roemer, C.; Disca, T.; Coulonac, A.; Basac, Y. Bat flight height monitored from wind masts predicts mortality risk at wind farms. Biol. Conserv. 2017, 215, 116–122. 28. Parisé, J.; Walker, T.R. Industrial wind turbine post-construction bird and bat monitoring: A policy framework for Canada. J. ...Boško D. Josimović, Aleksandar Cvjetić, Božidar Manić. "Strategic Environmental Assessment in the Application of Preventive Protection for Wind Farm Noise—Case Study: Maestrale Ring Wind Farm" in Energies, MDPI AG (2021). https://doi.org/10.3390/en14196174
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Recent landslide-rainfall thresholds in Serbia
Marjanović Miloš, Samardžić Petrović Mileva, Abolmasov Biljana. "Recent landslide-rainfall thresholds in Serbia" in EGU General Assembly Conference Abstracts 20, Book of Abstracts no. 20, Vienna, Austria:Copernicus (2018): 1013-1013
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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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Landslide Susceptibility Analysis of Belgrade City Area
Marjanović Miloš, Đurić Uroš, Abolmasov Biljana, Bogdanović Snežana. "Landslide Susceptibility Analysis of Belgrade City Area" in Landslide science for a safer geoenvironment - the international programme on landslides (IPL) 2, Berlin, Germany:Springer (2014): 469-474. https://doi.org/10.1007/978-3-319-05050-8_73
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Preliminary analysis and monitoring of the road slope on the M-22 highroad near Ljig in Serbia using LIDAR data
Marjanović Miloš, Abolmasov Biljana, Đurić Uroš, Bogdanović Snežana. "Preliminary analysis and monitoring of the road slope on the M-22 highroad near Ljig in Serbia using LIDAR data" in Proceedings of XII IAEG Congress, Italy, Torino 2 no. 1, :Springer International Publishing (2014): 147-150. https://doi.org/10.1007/978-3-319-09057-
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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, Ljubljana 2017, 11 - 13 October 2017 Ljubljana, Slovenia, Book of Abstracts 1, Ljubljana:Geological Survey of Slovenia (2017): 38
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Seismotectonic characteristics of 2010 Kraljevo seismic sequence (Internal Dinarides, central Serbia)
Ana Mladenović, Vladica Cvetković, Ivan Dulić, Snežana Marjanović. "Seismotectonic characteristics of 2010 Kraljevo seismic sequence (Internal Dinarides, central Serbia)" in Émile Argand Conference - 13th Workshop on Alpine Geological Studies - September 7th-18th 2017 in Serbia, Zlatibor Mts., Beograd:University of Belgrade - Faculty of Mining and Geology (2017): 72-72
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Механизам земљотреса у условима веома спорих тектонских деформација: сеизмотектонска студија Краљевачке сеизмичке секвенце (3.11.2010)
Младеновић Ана, Цветковић Владица, Дулић Иван, Марјановић С.. "Механизам земљотреса у условима веома спорих тектонских деформација: сеизмотектонска студија Краљевачке сеизмичке секвенце (3.11.2010)" in Српски геолошки конгрес, Врњачка Бања, 17‐20. мај 2019 no. 1, Врњачка Бања:Српско геолошко друштво (2018): 171-173
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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