Search Results - "Kovačević Aleksandar"

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  1. 1

    Recycled Jute Non-Woven Material Coated with Polyaniline/TiO2 Nanocomposite for Removal of Heavy Metal Ions from Water by Kovačević, Aleksandar, Radoičić, Marija, Marković, Darka, Šaponjić, Zoran, Radetić, Maja

    Published in Molecules (Basel, Switzerland) (14-09-2024)
    “…Growing volumes of textile waste and heavy metal pollution of water are emerging environmental challenges. In an attempt to tackle these issues, a non-woven…”
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    Journal Article
  2. 2

    Automatic detection of Long Method and God Class code smells through neural source code embeddings by Kovačević, Aleksandar, Slivka, Jelena, Vidaković, Dragan, Grujić, Katarina-Glorija, Luburić, Nikola, Prokić, Simona, Sladić, Goran

    Published in Expert systems with applications (15-10-2022)
    “…•We compare machine learning approaches against heuristics for code smell detection.•We use metrics and code embeddings as code representations for machine…”
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  3. 3

    Enhancing mechanical properties of 3D printed thermoplastic polymers by annealing in moulds by Vorkapić, Miloš, Mladenović, Ivana, Ivanov, Toni, Kovačević, Aleksandar, Hasan, Mohammad Sakib, Simonović, Aleksandar, Trajković, Isaak

    Published in Advances in mechanical engineering (01-08-2022)
    “…Five series of specimens with two different print orientations (−45/45 and 0/90) and two print layer thicknesses (0.1 and 0.2 mm) were made. In total 60…”
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  4. 4

    Antimicrobial Nanocomposites Based on Oxidized Cotton Fabric and in situ Biosynthesized Copper Oxides Nanostructures Using Bearberry Leaves Extract by Krkobabić, Ana, Marković, Darka, Kovačević, Aleksandar, Tadić, Vanja, Radoičić, Marija, Barudžija, Tatjana, Ilic-Tomic, Tatjana, Radetić, Maja

    Published in Fibers and polymers (01-04-2022)
    “…The aim of this study was to develop antimicrobial nanocomposite textile material comprising of Cu-based nanostructures synthesized on oxidized cotton fabric…”
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  5. 5

    Using ChatGPT to annotate a dataset: A case study in intelligent tutoring systems by Vujinović, Aleksandar, Luburić, Nikola, Slivka, Jelena, Kovačević, Aleksandar

    Published in Machine learning with applications (01-06-2024)
    “…Large language models like ChatGPT can learn in-context (ICL) from examples. Studies showed that, due to ICL, ChatGPT achieves impressive performance in…”
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  6. 6

    Automatic detection of code smells using metrics and CodeT5 embeddings: a case study in C# by Kovačević, Aleksandar, Luburić, Nikola, Slivka, Jelena, Prokić, Simona, Grujić, Katarina-Glorija, Vidaković, Dragan, Sladić, Goran

    Published in Neural computing & applications (01-06-2024)
    “…Code smells are poorly designed code structures indicating that the code may need to be refactored. Recognizing code smells in practice is complex, and…”
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  7. 7

    Towards a systematic approach to manual annotation of code smells by Slivka, Jelena, Luburić, Nikola, Prokić, Simona, Grujić, Katarina-Glorija, Kovačević, Aleksandar, Sladić, Goran, Vidaković, Dragan

    Published in Science of computer programming (01-08-2023)
    “…Code smells are structures in code that may indicate maintainability issues. They are challenging to define, and software engineers detect them differently…”
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  8. 8

    Interlaboratory comparison of radiated emission measurements using a tubular dipole by Kovacevic, Aleksandar, Munic, Nenad, Brkljac, Nenko, Stankovic, Koviljka

    Published in Nuclear technology & radiation protection (01-01-2022)
    “…This paper presents an interlaboratory comparison of radiated emission measurements in the frequency range of 30-1000 MHz. A tubular dipole was specifically…”
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  9. 9

    Numerical analysis of o propeller in ground effect by Svorcan, Jelena, Kovačević, Aleksandar, Ivanov, Toni, Simonović, Aleksandar

    “…Detailed studies of propeller flows are regaining both interest and significance worldwide, as the number of their different design and applications…”
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  10. 10

    STRUCTURE AND FREQUENCY OF PRODUCT NONCONFORMITIES IN THE CONTEXT OF CUSTOMER SATISFACTION by Brkljac, Nenko, Munic, Nenad, Micovic, Aleksandar, Kovacevic, Aleksandar M., Rakonjac, Predrag

    Published in International Journal for Quality Research (01-01-2023)
    “…The main goal of this paper is to evaluate the non-conformity of a product from the end-user point of view (assessment of conformity through second-party…”
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  11. 11

    The combined method for uncertainty evaluation in electromagnetic radiation measurement by Kovacevic, Aleksandar, Kovacevic, Ana, Stankovic, Koviljka, Kovacevic, Uros

    “…Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to…”
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  12. 12

    Machine learning modelling of wet granulation scale-up using compressibility, compactibility and manufacturability parameters by Millen, Nada, Kovacevic, Aleksandar, Khera, Lalit, Djuris, Jelena, Ibric, Svetlana

    Published in Hemijska industrija (2019)
    “…The purpose of this extensive study is to use a quality by design (QbD) approach and multiple machine learning algorithms in facilitating wet granulation…”
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  13. 13

    Effect of fertilization on weed infestation, morphological and productive traits of different alternative small grains by Roljević Nikolić,Svetlana, Kovačević,Dušan, Dolijanović,Željko, Miodragović,Rajko, Kovačević,Aleksandar

    “…This examination aims to determinate influence of fertilizers toward weed infestation, morphological and productive traits of different alternative small…”
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  14. 14

    The numerical method for the coverage interval determination in the conducted emission measurements by Kovačević, Aleksandar M., Stanković, Koviljka Đ.

    “…•This paper presents a numerical method for the coverage interval determination.•The coverage interval is derived from distribution function.•The evaluation of…”
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  15. 15

    Effect of reciprocal crosses on grain yield and other agronomic traits in maize by Kovacevic, Aleksandar, Pavlov, Jovan, Stevanovic, Milan, Grcic, Nikola, Mladenovic, Marko, Delic, Nenad, Knezevic, Nemanja

    Published in Genetika (Beograd) (2022)
    “…The goal of this experiment was to examine a possible influence of reciprocal crosses on grain yield and some morphological traits in maize. Field trials were…”
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  16. 16

    Data mining techniques applied in the analysis of historical data by Kovačević, Jovana, Kovačević, Aleksandar, Miletić, Tijana, Đuriš, Jelena, Ibrić, Svetlana

    Published in Arhiv za farmaciju (2022)
    “…Understanding the effect of the characteristics of formulation and process parameters on the physicochemical properties of a pharmaceutical product is very…”
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  17. 17

    Uncertainty evaluation of the conducted emission measurements by Kovacevic, Aleksandar, Despotovic, Dejan, Rajovic, Zoran, Stankovic, Koviljka, Kovacevic, Ana, Kovacevic, Uros

    “…For the evaluation of measurement uncertainty in measuring the conduction emission, in this paper we propose a new model which uses mixed distribution…”
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  18. 18

    5S elements as steps to bridge the GAP in transmitter manufacturing process by Vorkapić, Miloš, Bogetić, Srđan, Tanović, Dragoljub, Hasan, Mohammad, Kovačević, Aleksandar

    “…In this paper, GAP analysis and 5S tool are applied in the case of realization of a compact pressure transmitter. GAP analysis, combined with the 5S tool, can…”
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  19. 19

    The usage of 3D printing in the analysis of the product design: Case: Electronic enclosure of compact pressure transmitter by Vorkapić, Miloš, Ivanov, Toni, Baltić, Marija, Kreculj, Dragan, Tanović, Dragoljub, Kovačević, Aleksandar

    Published in Tehnika (Beograd) (2020)
    “…Additive manufacturing involves manufacturing of products with complex geometry in relatively small quantities, as well as the tools and molds manufacturing…”
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  20. 20

    Automatic detection of Feature Envy and Data Class code smells using machine learning by Škipina, Milica, Slivka, Jelena, Luburić, Nikola, Kovačević, Aleksandar

    Published in Expert systems with applications (01-06-2024)
    “…Code smells in software indicate poor design and implementation choices. Detecting and removing them is critical for sustainable software development. Machine…”
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