Zobrazeno 1 - 10
of 242
pro vyhledávání: '"Beko Marko"'
Publikováno v:
Serbian Journal of Electrical Engineering, Vol 18, Iss 3, Pp 397-426 (2021)
Operators of modern mobile networks are faced with significant challenges in providing the requested level of service to an ever increasing number of user entities. Advanced machine learning techniques based on deep architectures and appropriate l
Externí odkaz:
https://doaj.org/article/f3813343a491436085c73df7c1bf67ac
This paper introduces a relay-assisted solution for downlink communications in a mixed system of Radio Frequency (RF) and Underwater Optical Wireless Communications (UOWC) technologies. During the initial downlink phase, data transmission occurs via
Externí odkaz:
http://arxiv.org/abs/2407.02892
This work addresses weight optimization problem for fully-connected feed-forward neural networks. Unlike existing approaches that are based on back-propagation (BP) and chain rule gradient-based optimization (which implies iterative execution, potent
Externí odkaz:
http://arxiv.org/abs/2401.06699
Autor:
Sobot, Srdjan, Lukic, Milan, Bortnik, Dusan, Nikic, Vladimir, Lima, Brena, Beko, Marko, Vukobratovic, Dejan
Publikováno v:
6th Conference on Cloud and Internet of Things, March 20-22, 2023, Lusofona University (Lisbon, Portugal)
In this paper, we propose, design, deploy and demonstrate a two-tier Low Power Wide Area Network (LP WAN) system based on Unmanned Aerial Vehicle (UAV) base stations suitable for dynamic deployment in deep rural environments. The proposed UAV-based L
Externí odkaz:
http://arxiv.org/abs/2305.11267
Publikováno v:
In ICT Express October 2024 10(5):1103-1109
Publikováno v:
In Ad Hoc Networks 1 April 2024 156
Autor:
Beko, Marko, Tomic, Slavisa
Being able to accurately locate wireless devices, while guaranteeing high-level of security against spoofing attacks, benefits all participants in the localization chain (e.g., end users, network operators, and location service providers). On the one
Externí odkaz:
http://arxiv.org/abs/2009.02259
In this paper we propose several novel distributed gradient-based temporal difference algorithms for multi-agent off-policy learning of linear approximation of the value function in Markov decision processes with strict information structure constrai
Externí odkaz:
http://arxiv.org/abs/2006.10443
Akademický článek
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Publikováno v:
In European Journal of Control November 2023 74