Autori: Bajic Bojana M
| Naslov | AI Anomaly Detection for Smart Manufacturing (Proceedings Paper) |
| Autori | Bajic Bojana M Medojevic Milovan M Jovicic Milos Rikalovic Aleksandar
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| Info | APPLIED ARTIFICIAL INTELLIGENCE 2: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI 2023, (2024), vol. 999 br. , str. 52-56 |
| Ispravka | Web of Science Članak |
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| Naslov | Toward a Human-Cyber-Physical System for Real-Time Anomaly Detection (Article) |
| Autori | Bajic Bojana M Rikalovic Aleksandar Suzic Nikola A Piuri Vincenzo
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| Info | IEEE SYSTEMS JOURNAL, (2024), vol. 18 br. 2, str. 1308-1319 |
| Projekat | Ministry of Science, Technological Development and Innovation |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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| Naslov | Edge Computing Data Optimization for Smart Quality Management: Industry 5.0 Perspective (Article) |
| Autori | Bajic Bojana M Suzic Nikola A Moraca Slobodan D Stefanovic Miladin Z Jovicic Milos Rikalovic Aleksandar
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| Info | SUSTAINABILITY, (2023), vol. 15 br. 7, str. - |
| Projekat | Science Fund of the Republic of Serbia within its program "IDEAS"-Management of New Security Risks-Research and Simulation Development; NEWSIMRD; [7749151] |
| Ispravka | Web of Science Članak Elečas Rang časopisa |
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| Naslov | Industry 4.0 Implementation Challenges and Opportunities: A Technological Perspective (Article) |
| Autori | Rikalovic Aleksandar Suzic Nikola A Bajic Bojana M Piuri Vincenzo
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| Info | IEEE SYSTEMS JOURNAL, (2022), vol. 16 br. 2, str. 2797-2810 |
| Projekat | University of Padova through the "Developing and testing Industry 4.0 Mass Customization implementation guidelines for SMEs" grant; European Commission (EC) within the H2020 ProgramEuropean Commission [825333] |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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| Naslov | Industry 4.0 Implementation Challenges and Opportunities: A Managerial Perspective (Article) |
| Autori | Bajic Bojana M Rikalovic Aleksandar Suzic Nikola A Piuri Vincenzo
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| Info | IEEE SYSTEMS JOURNAL, (2021), vol. 15 br. 1, str. 546-559 |
| Projekat | University of Padova; EC within the H2020 Program [825333 MOSAICrOWN] |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science Scopus |
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| Naslov | Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach (Article) |
| Autori | Bajic Bojana M Suzic Nikola A Simeunovic Nenad Moraca Slobodan D Rikalovic Aleksandar
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| Info | INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT, (2020), vol. 11 br. 3, str. 146-156 |
| Ispravka | Web of Science Članak Elečas Rang časopisa Citati: Web of Science |
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