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Naslov AIDA4Edge: Twinning for Excellence in Adaptive Edge Artificial Intelligence (Proceedings Paper)
Autori Andjelkovic Marko  ...  Peric Zoran H  Nikolic Jelena RA  Dincic Milan R  Jovanovic Aleksandra Z  Ciric Dejan G  Vucic Nikola J  Peric Sofija Z  Jovanovic Jelena Ra  Stojanovic Milica S  Nikolic Tatjana R  Nikolic Goran S  Nedeljkovic Jelena N  Dankovic Danijel M  Zivanovic Emilija N  Marjanovic Milos B  Veljkovic Sandra  Mitrovic Nikola I  Predic Bratislav B  Milovanovic Tamara 
Info 2025 28TH EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN, DSD, (2025), vol. br. , str. 145-152
Projekat Horizon Europe project AIDA4Edge [101160293]; United Kingdom Research and Innovation organization
Ispravka ISI/Web of Science   Članak  
Naslov Predictive Modeling of Irregular Time Series: Explainability and Edge Optimization Aligned with Industry 5.0 (Proceedings Paper)
Autori Tasic Milica  Ciric Ivan T  Ciric Milica V  Milic Miljana Lj  Predic Bratislav B 
Info 2025 IEEE 34TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, MIEL, (2025), vol. br. , str. 395-398
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia, under the Agreement on Financing the Scientific Research Work of Teaching Staff at the Faculty of Civil Engineering and Architecture, University of Nis [451-03-137/2025-03/200095]
Ispravka ISI/Web of Science   Članak  
Naslov Dynamic Neural Networks for Adaptive Edge AI: Techniques, Tools, and Development Directions (Proceedings Paper)
Autori Milovanovic Tamara  Predic Bratislav B  Bertozzi Davide  Peric Zoran H  Peric Sofija Z  Nikolic Jelena RA 
Info 2025 IEEE 34TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS, MIEL, (2025), vol. br. , str. 373-378
Projekat Horizon Europe Twinning project AIDA4Edge [101160293]; UK Research and Innovation organisation; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-136/2025-03/200102]
Ispravka ISI/Web of Science   Članak  
Naslov Unsupervised deep clustering as a tool for the identification of dark taxa in biomonitoring (Article)
Autori Milosevic Djuradj D  Milosavljevic Aleksandar Lj  Simovic Predrag  Trajkovic Aleksandra B  Medeiros Andrew S  Savic-Zdravkovic Dimitrija N  Stojanovic Katarina Z  Kostic Tijana  Predic Bratislav B 
Info ENVIRONMENTAL MONITORING AND ASSESSMENT, (2025), vol. 197 br. 8, str. -
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-137/2025-03/200124, 451-03-137/2025-03/ 200102]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov The Effects of Data Quality on Deep Learning Performance for Aquatic Insect Identification: Advances for Biomonitoring Studies (Article)
Autori Simovic Predrag  Milosavljevic Aleksandar Lj  Stojanovic Katarina Z  Savic-Zdravkovic Dimitrija N  Petrovic Ana SL  Predic Bratislav B  Milosevic Djuradj D 
Info WATER, (2025), vol. 17 br. 1, str. -
Projekat Science Fund of the Republic of Serbia; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-66/2024-03/200122]; [7751676]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Modeling Cybersecurity Risk: The Integration of Decision Theory and Pivot Pairwise Relative Criteria Importance Assessment with Scale for Cybersecurity Threat Evaluation (Article)
Autori Sijan Aleksandar  Viduka Dejan  Ilic Luka  Predic Bratislav B  Karabasevic Darjan 
Info ELECTRONICS, (2024), vol. 13 br. 21, str. -
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia; [451-03-65/2024-03/200102]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Imagelytics suite: deep learning-powered image classification for bioassessment in desktop and web environments (Article; Early Access)
Autori Milosavljevic Aleksandar Lj  Predic Bratislav B  Milosevic Djuradj D 
Info LOGIC JOURNAL OF THE IGPL, (2024), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [7751676]
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Naslov Research Trends in Artificial Intelligence and Security-Bibliometric Analysis (Review)
Autori Ilic Luka  Sijan Aleksandar  Predic Bratislav B  Viduka Dejan  Karabasevic Darjan 
Info ELECTRONICS, (2024), vol. 13 br. 12, str. -
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200102]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Automated identification of aquatic insects: A case study using deep learning and computer vision techniques (Article)
Autori Simovic Predrag  Milosavljevic Aleksandar Lj  Stojanovic Katarina Z  Radenkovic Milena D  Savic-Zdravkovic Dimitrija N  Predic Bratislav B  Petrovic Ana SL  Bozanic Milenka Lj  Milosevic Djuradj D 
Info SCIENCE OF THE TOTAL ENVIRONMENT, (2024), vol. 935 br. , str. -
Projekat Science Fund of the Republic of Serbia [7751676]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-66/2024-03/200122]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization (Article)
Autori Predic Bratislav B  Jovanovic Luka Z  Simic Vladimir D  Bacanin Nebojsa  Zivkovic Miodrag Z  Spalevic Petar C  Budimirovic Nebojsa  Dobrojevic Milos 
Info COMPLEX & INTELLIGENT SYSTEMS, (2024), vol. 10 br. 2, str. 2249-2269
Projekat This research was supported by the Science Fund of the Republic of Serbia-IDEA#7751676 and Ministry of Science, Technological Development and Innovations of the Republic of Serbia-TR32023 and TR35026. [7751676]; Science Fund of the Republic of Serbia-IDEA [TR32023, TR35026]; Ministry of Science, Technological Development and Innovations of the Republic of Serbia
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