



Autori:
Nebojsa Budimirovic, E. Prabhu, Miloš Antonijević, Miodrag Živković, Nebojša Bačanin Džakula, Ivana Štrumberger, K. Venkatachalam
Časopis: CMC - Computers, Materials & Continua

Autori:
S. Prakash, M. Vinoth Kumar, R. Saravana Ram, Miodrag Živković, Nebojša Bačanin Džakula, Miloš Antonijević
Časopis: Computer Systems Science and Engineering

Autori:
K. Umapathi, V. Vanitha, L. Anbarasu, Miodrag Živković, Nebojša Bačanin Džakula, Miloš Antonijević
Časopis: Journal of Ambient Intelligence and Humanized Computing

Kandidat:
Miloš Antonijević
Mentor: Aleksandar Jevremović
Institucija:
Univerzitet Singidunum, Beograd, Beograd, Srbija, 2020

Časopis: Serbian Journal of Electrical Engineering
DOI:
10.2298/SJEE1803339A