2761 items

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  Application of machine learning for diagnosing the operation of a deep well pump in oil production cite

  Maja Trikić (2024)

  This paper will thoroughly examine how machine learning can improve the diagnosis of deep well pumps by analyzing the role and function of the pumps, dynamograms, sensor technologies, and diagnostic methods.Our analysis will provide insights into modern techniques and approaches for enhancing the performance and reliability of oil production systems, targeting cost reduction and increased operational efficiency.

  deep well pump, dynamograms, machine learning, diagnostics of operating coditions,Random Forest, XGBoost

  Maja Trikić. Application of machine learning for diagnosing the operation of a deep well pump in oil production, 2024

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  Interpretation of Trace Element Chemistry of Zircons from Bor and Cukaru Peki: Conventional Approach and Random Forest Classification cite

  Dina Klimentyeva, Milos Velojic , Albrecht Von Quadt, Shawn Hood (2022)

  Geohemija cirkona, Mašinsko učenje, Timočki magmatski komplkes, Bor, Čukaru Peki

  Dina Klimentyeva, Milos Velojic , Albrecht Von Quadt, Shawn Hood. "Interpretation of Trace Element Chemistry of Zircons from Bor and Cukaru Peki: Conventional Approach and Random Forest Classification" in Geosciences (2022). https://doi.org/https://doi.org/10.3390/geosciences12110396

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  Prognoziranje iznadprosečnih vrednosti kvaliteta vazduha u Novom Sadu koriščenjem Random Forest modela cite

  Filip Arnaut, Vesna Cvetkov, Dragana Đurić (2023)

  Filip Arnaut, Vesna Cvetkov, Dragana Đurić. "Prognoziranje iznadprosečnih vrednosti kvaliteta vazduha u Novom Sadu koriščenjem Random Forest modela" in 10. Memorijalni naučni skup iz zaštite životne sredine docent dr Milena Dalmacija Novi Sad, 30-31.03. 2023., Novi Sad : Prirodno-matematički fakultet, Departman za hemiju, biohemiju i zaštitu životne sredine (2023)

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  Qualitative and quantitative approach for understanding karst hydrodynamics in artificial and natural coditions cite

  Marina Ćuk Đurović (2023)

  Marina Ćuk Đurović. "Qualitative and quantitative approach for understanding karst hydrodynamics in artificial and natural coditions" in 31st Karstological School "Classical karst", Postojna, Slovenia, June 2023, Scientific Research Centre of the Slovenian Academy of Sciences and ArtsZRC SAZU (2023)

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  Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept cite

  Uroš Đurić, Miloš Marjanović, Zoran Radić, Biljana Abolmasov (2019)

  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 ...

  klizišta, podložnost, mašinsko učenje

  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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  Long-term planning methodology for improving wood biomass utilization cite

  Vladimir Vukašinović, Dušan Gordić, Marija Živković, Davor Koncalović, Dubravka Živković (2019)

  The insufficiently developed forest management system is often followed by undeveloped forest resources supply chain and insufficient institutional support. These cause inefficient usage of fuel-wood as well as huge amounts of unused forest residues. In order to achieve optimal and long-term sustainable utilisation of biomass, an original methodology based on the interaction of mathematical optimization and backcasting approach has been developed. Mathematical optimization is used for both generation and consideration of techno-economic parameters of the forest biomass supply chain. ...

  Long-term planning methodology, Forest biomass, MINLP, Backcasting

  Vladimir Vukašinović, Dušan Gordić, Marija Živković, Davor Koncalović, Dubravka Živković. "Long-term planning methodology for improving wood biomass utilization" in Energy, Elsevier BV (2019). https://doi.org/10.1016/j.energy.2019.03.105

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  Application of decision trees and random forests to zircon geochemistry cite

  Dina Klimentyeva, Miloš Velojić, Bojan Kostić, Albrecht von Quadt (2022)

  Dina Klimentyeva, Miloš Velojić, Bojan Kostić, Albrecht von Quadt. "Application of decision trees and random forests to zircon geochemistry" in XXII International Congress of the CBGA, Plovdiv, Bulgaria, 7–11 September 2022, Bulgarian Academy of Sciences (2022)

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  Critical disorder and critical magnetic field of the nonequilibrium athermal random-field Ising model in thin systems cite

  Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Đorđe Spasojević (2019)

  Изингов модел, критично понашање, танки системи

  Svetislav Mijatović, Dragutin Jovković, Sanja Janićević, Đorđe Spasojević. "Critical disorder and critical magnetic field of the nonequilibrium athermal random-field Ising model in thin systems" in Physical Review E, American Physical Society (APS) (2019). https://doi.org/10.1103/PhysRevE.100.032113

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  Sentiment Analysis of Serbian Old Novels cite

  Ranka Stanković, Miloš Košprdić, Milica Ikonić Nešić, Tijana Radović (2022)

  In this paper we present first study of Sentiment Analysis (SA) of Serbian novels from the 1840-1920 period. The preparation of sentiment lexicon was based on three existing lexicons: NRC, AFFIN and Bing with additional extensive corrections. The first phase of dataset refinement included filtering the word that are not found in Serbian morphological dictionary and in second automatic POS tagging and lemma were manually corrected. The polarity lexicon was extracted and transformed into ontolex-lemon and published as initial ...

  sentiment lexicon, sentiment analysis, distant-reading, machine learning, old novels

  Ranka Stanković, Miloš Košprdić, Milica Ikonić Nešić, Tijana Radović. "Sentiment Analysis of Serbian Old Novels" in Proceedings of the 2nd Workshop on Sentiment Analysis and Linguistic Linked Data, June 2022, Marseille, France, European Language Resources Association (2022)

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  Integrating landslide magnitude in the susceptibility assessment of the City of Doboj, using machine learning and heuristic approach cite

  Cvjetko Sandić, Miloš Marjanović, Biljana Abolmasov, Radislav Tošić (2023)

  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 ...

  podložnost na kliženje, magnituda klizišta, mašinsko učenje, heuristički pristup, Doboj

  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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  Testing and calibration of continuously operating belt weighers cite

  Aleksandrović Snežana, Jović Mihajlo (2011)

  Aleksandrović Snežana, Jović Mihajlo. "Testing and calibration of continuously operating belt weighers" in Przegląd Elektrotechniczny 2011 no. 7, Warsyawa, Poland:SIGMA-NOT, Warsyawa (2011): 276-279

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  Magnetization enhancement in nanostructured random type MgFe 2O4 spinel prepared by soft mechanochemical route cite

  Antić Bratislav, Jović Nataša, Pavlović Miodrag B., Kremenović Aleksandar, Manojlović Dragan, Vučinić-Vasić Milica, Nikolić Aleksandar S. (2010)

  Antić Bratislav, Jović Nataša, Pavlović Miodrag B., Kremenović Aleksandar, Manojlović Dragan, Vučinić-Vasić Milica, Nikolić Aleksandar S.. "Magnetization enhancement in nanostructured random type MgFe 2O4 spinel prepared by soft mechanochemical route" in Journal of Applied Physics 4 no. 107, 1155 16TH ST, NW, WASHINGTON, DC 20036 USA:American Institute Physics (2010). https://doi.org/10.1063/1.3319563

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  Effect of operating parameters on the mechanical activation process of mica powder cite

  Andrić Ljubiša, Aćimović-Pavlović Zagorka, Trumić Milan, Kostović Milena, Ćalić Nadežda (2012)

  Andrić Ljubiša, Aćimović-Pavlović Zagorka, Trumić Milan, Kostović Milena, Ćalić Nadežda. "Effect of operating parameters on the mechanical activation process of mica powder" in Transactions of the Indian Ceramic Society 71 no. 3 (2012): 143-150. https://doi.org/http://dx.doi.org/10.1080/0371

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  Application of the Fuzzy theory in the evaluation of operating parameters of auxiliary mechanization on open-cast coal mine, case study: pipelayers cite

  Stevan Djenadić, Miloš Tanasijević, Filip Miletić, Predrag Jovančić (2022)

  Achieved operating parameters are the main indicator of the work quality and selection of mining machines. The effectiveness of a coal mine is correlated with the availability of basic and auxiliary machines. The main task of auxiliary machines in lignite mines is to achieve optimal working conditions. From an economic point of view, auxiliary machines generate up to 20% of the lignite mines' total costs. These are the primary reasons for analyzing their current work and making decisions in ...

  upotrebni kvalitet, fazi teorija, rudarske mašine

  Stevan Djenadić, Miloš Tanasijević, Filip Miletić, Predrag Jovančić. "Application of the Fuzzy theory in the evaluation of operating parameters of auxiliary mechanization on open-cast coal mine, case study: pipelayers" in 8th Balkan Mining Congress, Belgrade, September 28-30, Rudarski instutut (2022)

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  Nonequilibrium athermal random-field Ising model on hexagonal lattices cite

  Svetislav Mijatović, Dragutin Jovković, Đorđe Spasojević (2021)

  Изингов модел, хексагонална решетка

  Svetislav Mijatović, Dragutin Jovković, Đorđe Spasojević. "Nonequilibrium athermal random-field Ising model on hexagonal lattices" in Physical Review E, American Physical Society (APS) (2021). https://doi.org/10.1103/PhysRevE.103.032147

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  Simulation of the operating regime and determination of the radius of influence of the groundwater sources „Parmenac“ and „Beljina“ (Čačak) cite

  Polomčić Dušan, Bajić Dragoljub, Močević Jelena, Špadijer Slavko, Drašković Dejan (2016)

  Polomčić Dušan, Bajić Dragoljub, Močević Jelena, Špadijer Slavko, Drašković Dejan. "Simulation of the operating regime and determination of the radius of influence of the groundwater sources „Parmenac“ and „Beljina“ (Čačak)" in Proceedings of the XV Serbian Symposium on Hydrogeology, Belgrade:University of Belgrade - Faculty of mining and geology (2016): 141-146

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  Threshold-induced correlations in the Random Field Ising Model cite

  Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević (2018)

  Multidisciplinary

  Sanja Janićević, Dragutin Jovković, Lasse Laurson, Đorđe Spasojević. "Threshold-induced correlations in the Random Field Ising Model" in Scientific Reports, Springer Science and Business Media LLC (2018). https://doi.org/10.1038/s41598-018-20759-6

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  Unvestments in Geological Exploration and Afectation on Mining Operating Cash Costs at Lignite Open Pits Kolubara (Lazarevac), Serbia cite

  Vuckovic Bogoljub, Dimitrijevic Bojan (2018)

  Vuckovic Bogoljub, Dimitrijevic Bojan. "Unvestments in Geological Exploration and Afectation on Mining Operating Cash Costs at Lignite Open Pits Kolubara (Lazarevac), Serbia" in Book of Abstracts, 14 th International Symposium of Continous Surface Mining ISCSM 2018, Greece, Thessaloniki 23-26 September 2018, Thessaloniki:Aristotle University Research Dissemination Center (2018): 66

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  Model of room and pillar production planning in small scale underground mines with metal price and operating cost uncertainty cite

  Gligorić Zoran, Gligorić Miloš, Dimitrijević Bojan, Grozdanović Ines, Milutinović Aleksandar, Ganić Aleksandar, Gojković Zoran (2018)

  Gligorić Zoran, Gligorić Miloš, Dimitrijević Bojan, Grozdanović Ines, Milutinović Aleksandar, Ganić Aleksandar, Gojković Zoran. "Model of room and pillar production planning in small scale underground mines with metal price and operating cost uncertainty" in Resources Policy, The International Journal of Minerals Policy and Economics, Amsterdam, Holandija:Elsevier (2018)

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  Barkhausen noise in disordered striplike ferromagnets: Experiment versus simulations cite

  Đordje Spasojević, Miloš Marinković, Dragutin Jovković, Sanja Janićević, Lasse Laurson, Antonije Đorđević (2024)

  fluktuacije i šum, neuređeni sistemi, magnetna merenja, Izingov model sa slučajnim poljem

  Đordje Spasojević, Miloš Marinković, Dragutin Jovković, Sanja Janićević, Lasse Laurson, Antonije Đorđević. "Barkhausen noise in disordered striplike ferromagnets: Experiment versus simulations" in Physical Review E, American Physical Society (APS) (2024). https://doi.org/10.1103/PhysRevE.109.024110