1 citations · 1 across the 5 of their papers we have counts for
5 papers
Impact of Preprocessing on Neural Network-Based RSS/AoA Positioning
Omid Abbassi Aghda, Slavisa Tomic, Oussama Ben Haj Belkacem +4
Hybrid received signal strength (RSS)-angle of arrival (AoA)-based positioning offers low-cost distance estimation and high-resolution angular measurements. Still, it comes at a co…
Reinforcing Localization Credibility Through Convex Optimization
Slavisa Tomic, Marko Beko, Yakubu Tsado +2
This work proposes a novel approach to reinforce localization security in wireless networks in the presence of malicious nodes that are able to manipulate (spoof) radio measurement…
Voting Scheme to Strengthen Localization Security in Randomly Deployed Wireless Sensor Networks
Slavisa Tomic, Marko Beko, Dejan Vukobratovic +1
This work aspires to provide a trustworthy solution for target localization in adverse environments, where malicious nodes, capable of manipulating distance measurements (i.e., per…
A Closed-form Solution for Weight Optimization in Fully-connected Feed-forward Neural Networks
Slavisa Tomic, João Pedro Matos-Carvalho, Marko Beko
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…
Towards Secure Localization in Randomly Deployed Wireless Networks
Marko Beko, Slavisa Tomic
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…