<?xml version="1.0" encoding="UTF-8"?>
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  <title>University of Kragujevac Digital Archive</title>
  <link rel="alternate" href="http://https://scidar.kg.ac.rs:80" />
  <subtitle>The SCIDAR digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://https://scidar.kg.ac.rs:80</id>
  <updated>2026-10-09T10:42:08Z</updated>
  <dc:date>2026-10-09T10:42:08Z</dc:date>
  <entry>
    <title>From Point-Valued to Interval-Valued Bipolar Neutrosophic Soft Sets: The Impact of Uncertainty Representation on Decision-Making</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23349" />
    <author>
      <name>Vučićević, Nemanja</name>
    </author>
    <author>
      <name>Andrić, Filip</name>
    </author>
    <author>
      <name>Stojanović, Nenad</name>
    </author>
    <author>
      <name>Svičević, Marina</name>
    </author>
    <author>
      <name>Stojanovic, Tatjana</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23349</id>
    <updated>2026-10-09T10:33:00Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: From Point-Valued to Interval-Valued Bipolar Neutrosophic Soft Sets: The Impact of Uncertainty Representation on Decision-Making
Authors: Vučićević, Nemanja; Andrić, Filip; Stojanović, Nenad; Svičević, Marina; Stojanovic, Tatjana</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Mathematical Foundations of AI and Machine Learning: A Pilot Study Among Graduates of Specialized Secondary School Students</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23348" />
    <author>
      <name>Svičević, Marina</name>
    </author>
    <author>
      <name>Milenković, Aleksandar</name>
    </author>
    <author>
      <name>Vučićević, Nemanja</name>
    </author>
    <author>
      <name>Arsić, Branko</name>
    </author>
    <author>
      <name>Krstić, Lazar</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23348</id>
    <updated>2026-10-09T10:32:52Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Mathematical Foundations of AI and Machine Learning: A Pilot Study Among Graduates of Specialized Secondary School Students
Authors: Svičević, Marina; Milenković, Aleksandar; Vučićević, Nemanja; Arsić, Branko; Krstić, Lazar</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Integrated risk assessment and digital twin-based safety management in photovoltaic systems</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23347" />
    <author>
      <name>Bošković, Goran</name>
    </author>
    <author>
      <name>Kužet, Željana</name>
    </author>
    <author>
      <name>Boskovic, Marina</name>
    </author>
    <author>
      <name>Todorović, Marko</name>
    </author>
    <author>
      <name>Čepić, Zoran</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23347</id>
    <updated>2026-10-09T06:42:34Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Integrated risk assessment and digital twin-based safety management in photovoltaic systems
Authors: Bošković, Goran; Kužet, Željana; Boskovic, Marina; Todorović, Marko; Čepić, Zoran
Editors: Markovic, Goran
Abstract: The rapid expansion of photovoltaic (PV) systems has increased the importance of effective occupational health and safety management throughout the system life cycle. While photovoltaic technology is generally considered a safe and sustainable energy solution, numerous technical, environmental, organizational, and occupational hazards remain present during manufacturing, installation, operation, maintenance, and decommissioning phases. This paper presents a comprehensive literature review of risks associated with photovoltaic systems and proposes a Digital Twin-Assisted Failure Mode and Effects Analysis (DT-FMEA) framework for integrated risk assessment. The proposed approach combines traditional risk assessment principles with digital twin technology, enabling continuous monitoring, predictive diagnostics, and dynamic risk evaluation. The framework integrates technical, health-related, environmental, and social risk factors into a unified model capable of supporting predictive maintenance and proactive safety management. The results indicate that digital twins can significantly improve hazard detection capabilities, reduce risk priority levels, and enhance the overall sustainability and safety performance of photovoltaic installations. The study contributes to the development of next-generation safety management systems for renewable energy infrastructures.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Analysis of the influence of important forming parameters in sheet metal stamping in automotive industry using FEA</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23346" />
    <author>
      <name>Delić, Marko</name>
    </author>
    <author>
      <name>Mandic, Vesna</name>
    </author>
    <author>
      <name>Ratkovic, Nada</name>
    </author>
    <author>
      <name>Komatina, Nikola</name>
    </author>
    <author>
      <name>Arsić, Dušan</name>
    </author>
    <author>
      <name>Kastratović, Nikola</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23346</id>
    <updated>2026-10-09T06:30:48Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Analysis of the influence of important forming parameters in sheet metal stamping in automotive industry using FEA
Authors: Delić, Marko; Mandic, Vesna; Ratkovic, Nada; Komatina, Nikola; Arsić, Dušan; Kastratović, Nikola
Abstract: Manufacturing of parts using stamping technology is very common in the auto industry. In this paper, for a hood inner panel, the effects of manufacturing parameters were analysed using the finite element method. The influence of blank holding force, holding surface and tribological conditions is considered. The success of the process was analysed using the forming limit diagram, which in combination with FEA provides significant opportunities for process improvement. Results shows that friction have great impact on fracture occurring and quality of parts.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
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