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Autori: Denic Bojan D

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Naslov Performance Analysis of Fixed-Point and Floating-Point 32-bit Quantizers for L-1 Norm and Laplacian Source (Proceedings Paper)
Autori Peric Zoran H  Denic Bojan D  Vucic Nikola J  Jovanovic Aleksandra Z  Nikolic Jelena RA 
Info 2023 58TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES, ICEST, (2023), vol. br. , str. 17-20
Projekat Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200102]
Ispravka ISI/Web of Science   Članak  
Naslov MSE Analysis of 24-Bit Fixed-Point Format in a Wide Variance Range (Proceedings Paper)
Autori Denic Bojan D  Peric Zoran H  Dincic Milan R 
Info 2023 58TH INTERNATIONAL SCIENTIFIC CONFERENCE ON INFORMATION, COMMUNICATION AND ENERGY SYSTEMS AND TECHNOLOGIES, ICEST, (2023), vol. br. , str. 13-16
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  
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 A Dual-Mode 2-bit Uniform Scalar Quantizer for Data with Laplacian Distribution (Proceedings Paper)
Autori Peric Zoran H  Denic Bojan D  Jovanovic Aleksandra Z  Savic Milan S  Vucic Nikola J  Nikolic Anastasija Z 
Info 2021 29TH TELECOMMUNICATIONS FORUM (TELFOR), (2021), vol. br. , str. -
Projekat Science Fund of the Republic of Serbia [6527104]
Ispravka ISI/Web of Science   Članak   Citati: ISI/Web of Science   Scopus  
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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