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Autori: Denic Bojan D

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Naslov Switched 32-Bit Fixed-Point Format for Laplacian-Distributed Data (Article)
Autori Denic Bojan D  Peric Zoran H  Dincic Milan R  Peric Sofija Z  Simic Nikola B  Andjelkovic Marko 
Info INFORMATION, (2025), vol. 16 br. 7, str. -
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia; European Union's Horizon 2023 research and innovation program through the AIDA4Edge Twinning project [101160293]; [451-03-136/2025-03/200102]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov An Approximate Closed-Form Expression for Calculating Performance of Floating-Point Format for the Laplacian Source (Article)
Autori Peric Zoran H  Denic Bojan D  Dincic Milan R  Peric Sofija Z 
Info INFORMATICA, (2025), vol. 36 br. 1, str. 125-140
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200102]; European Union [101160293]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Simplified performance evaluation of floating-point formats for implementing intelligent measurement systems (Article; Early Access)
Autori Dincic Milan R  Peric Zoran H  Denic Dragan B  Denic Bojan D  Peric Sofija Z 
Info TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, (2025), vol. br. , str. -
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-65/2024-03/200102]; European Union [101160293]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati:
Naslov Optimization of the fixed-point representation of measurement data for intelligent measurement systems (Article)
Autori Dincic Milan R  Peric Zoran H  Denic Dragan B  Denic Bojan D 
Info MEASUREMENT, (2023), vol. 217 br. , str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022- 14/200102]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Performance Analysis of a 2-bit Dual-Mode Uniform Scalar Quantizer for Laplacian Source (Article)
Autori Peric Zoran H  Denic Bojan D  Jovanovic Aleksandra Z  Milosavljevic Srdjan Z  Savic Milan S 
Info INFORMATION TECHNOLOGY AND CONTROL, (2022), vol. 51 br. 4, str. 625-637
Projekat Science Fund of the Republic of Serbia [6527104]; (AI-Comin-AI)
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa  
Naslov Quantization of Weights of Neural Networks with Negligible Decreasing of Prediction Accuracy (Article)
Autori Peric Zoran H  Denic Bojan D  Savic Milan S  Dincic Milan R  Mihajlov Darko I 
Info INFORMATION TECHNOLOGY AND CONTROL, (2021), vol. 50 br. 3, str. 558-569
Projekat Ministry of Education, Science and Technological Development, Serbia; Science Fund of the Republic of Serbia [6527104]; (AI-Com-in-AI)
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution (Article)
Autori Peric Zoran H  Denic Bojan D  Dincic Milan R  Nikolic Jelena RA 
Info ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, (2021), vol. 21 br. 3, str. 3-10
Projekat Science Fund of the Republic of Serbia [6527104]
Ispravka ISI/Web of Science   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Design of a 2-Bit Neural Network Quantizer for Laplacian Source (Article)
Autori Peric Zoran H  Savic Milan S  Simic Nikola B  Denic Bojan D  Despotovic Vladimir M 
Info ENTROPY, (2021), vol. 23 br. 8, str. -
Projekat Science Fund of the Republic of Serbia [6527104]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Binary Quantization Analysis of Neural Networks Weights on MNIST Dataset (Article)
Autori Peric Zoran H  Denic Bojan D  Savic Milan S  Vucic Nikola J  Simic Nikola B 
Info ELEKTRONIKA IR ELEKTROTECHNIKA, (2021), vol. 27 br. 4, str. 55-61
Projekat Ministry of Education, Science and Technological Development, Serbia [TR32035]; Science Fund of the Republic of Serbia [6527104]
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
Naslov Support region of mu-law logarithmic quantizers for Laplacian source applied in neural networks (Article)
Autori Dincic Milan R  Peric Zoran H  Tancic Milan Z  Denic Dragan B  Stamenkovic Zoran  Denic Bojan D 
Info MICROELECTRONICS RELIABILITY, (2021), vol. 124 br. , str. -
Projekat Science Fund of the Republic of Serbia [6527104]; Ministry of Education, Science and Technological Development, Serbia
Ispravka ISI/Web of Science   Članak   Elečas   Rang časopisa   Citati: ISI/Web of Science   Scopus  
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