<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <title>SCIDAR Collection:</title>
  <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/8210" />
  <subtitle />
  <id>https://scidar.kg.ac.rs/handle/123456789/8210</id>
  <updated>2026-03-12T04:32:11Z</updated>
  <dc:date>2026-03-12T04:32:11Z</dc:date>
  <entry>
    <title>Smart prosperity through smart supply chain based on using smart and intelligent technologies</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23070" />
    <author>
      <name>Arsovski, Zora</name>
    </author>
    <author>
      <name>Arsovski, Slavko</name>
    </author>
    <author>
      <name>Djordjevic, Aleksandar</name>
    </author>
    <author>
      <name>Stefanovic, Miladin</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23070</id>
    <updated>2026-03-05T03:02:22Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Smart prosperity through smart supply chain based on using smart and intelligent technologies
Authors: Arsovski, Zora; Arsovski, Slavko; Djordjevic, Aleksandar; Stefanovic, Miladin
Abstract: This study aims to examine how SIT, with a focus on Information and Communication Technologies (ICT) and Artificial Intelligence (AI), contributes to Smart Prosperity (SP) in emerging economies. The model integrates data collected using the Nominal Group Technique (NGT), supported by statistical analysis, Artificial Neural Networks (ANN), and the SP Model (SPM). It incorporates 12 variables related to Industry 4.0/5.0 concepts, including Smart Supply Chain Resilience (SSCR), Smart and Intelligent Chain Agility (SASCA), and Smart and Intelligent Prosperity (SIP). The results highlight the potential of SIT to enable resilient, agile, and prosperous supply chains, thereby supporting the broader development of Smart Society within the framework of Society 5.0.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>A new artificial neural network model for prediction of fatigue strength and yield strength of various steel grades</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23069" />
    <author>
      <name>Ivković, Djordje</name>
    </author>
    <author>
      <name>Arsić, Dušan</name>
    </author>
    <author>
      <name>Adamovic, Dragan</name>
    </author>
    <author>
      <name>Sedmak, Aleksandar</name>
    </author>
    <author>
      <name>Delić, Marko</name>
    </author>
    <author>
      <name>Vulovic, Radun</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23069</id>
    <updated>2026-03-04T03:02:04Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: A new artificial neural network model for prediction of fatigue strength and yield strength of various steel grades
Authors: Ivković, Djordje; Arsić, Dušan; Adamovic, Dragan; Sedmak, Aleksandar; Delić, Marko; Vulovic, Radun
Editors: Zhang, Zhiliang</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Smart prosperity through smart supply chain based on using smart and intelligent technologies</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23068" />
    <author>
      <name>Arsovski, Zora</name>
    </author>
    <author>
      <name>Arsovski, Slavko</name>
    </author>
    <author>
      <name>Djordjevic, Aleksandar</name>
    </author>
    <author>
      <name>Stefanovic, Miladin</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23068</id>
    <updated>2026-03-04T03:00:17Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Smart prosperity through smart supply chain based on using smart and intelligent technologies
Authors: Arsovski, Zora; Arsovski, Slavko; Djordjevic, Aleksandar; Stefanovic, Miladin
Abstract: This study aims to examine how SIT, with a focus on Information and Communication Technologies (ICT) and Artificial Intelligence (AI), contributes to Smart Prosperity (SP) in emerging economies. The model integrates data collected using the Nominal Group Technique (NGT), supported by statistical analysis, Artificial Neural Networks (ANN), and the SP Model (SPM). It incorporates 12 variables related to Industry 4.0/5.0 concepts, including Smart Supply Chain Resilience (SSCR), Smart and Intelligent Chain Agility (SASCA), and Smart and Intelligent Prosperity (SIP). The results highlight the potential of SIT to enable resilient, agile, and prosperous supply chains, thereby supporting the broader development of Smart Society within the framework of Society 5.0.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>AI-Enabled Workforce Management for Hybrid Workplaces</title>
    <link rel="alternate" href="https://scidar.kg.ac.rs/handle/123456789/23051" />
    <author>
      <name>Mehra, Preeti</name>
    </author>
    <author>
      <name>Olga, Ergunova</name>
    </author>
    <author>
      <name>Agrawal, Dr. Shyam Sunder</name>
    </author>
    <author>
      <name>kansra, pooja</name>
    </author>
    <author>
      <name>Stefanovic, Miladin</name>
    </author>
    <id>https://scidar.kg.ac.rs/handle/123456789/23051</id>
    <updated>2026-02-24T03:01:02Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: AI-Enabled Workforce Management for Hybrid Workplaces
Authors: Mehra, Preeti; Olga, Ergunova; Agrawal, Dr. Shyam Sunder; kansra, pooja; Stefanovic, Miladin</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
</feed>

