23 citations · 76 across the 18 of their papers we have counts for
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Distributed Inference over Linear Models using Alternating Gaussian Belief Propagation
Mirsad Cosovic, Dragisa Miskovic, Muhamed Delalic +2
We consider the problem of maximum likelihood estimation in linear models represented by factor graphs and solved via the Gaussian belief propagation algorithm. Motivated by massiv…
Near Real-Time Distributed State Estimation via AI/ML-Empowered 5G Networks
Ognjen Kundacina, Miodrag Forcan, Mirsad Cosovic +5
Fifth-Generation (5G) networks have a potential to accelerate power system transition to a flexible, softwarized, data-driven, and intelligent grid. With their evolving support for…
Distributed Nonlinear State Estimation in Electric Power Systems using Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dragisa Miskovic +1
Nonlinear state estimation (SE), with the goal of estimating complex bus voltages based on all types of measurements available in the power system, is usually solved using the iter…
Robust and Fast Data-Driven Power System State Estimator Using Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic
The power system state estimation (SE) algorithm estimates the complex bus voltages based on the available set of measurements. Because phasor measurement units (PMUs) are becoming…
Realistic Video Sequences for Subjective QoE Analysis
Kerim Hodzic, Mirsad Cosovic, Sasa Mrdovic +2
Multimedia streaming over the Internet (live and on demand) is the cornerstone of modern Internet carrying more than 60% of all traffic. With such high demand, delivering outstandi…
State Estimation in Electric Power Systems Leveraging Graph Neural Networks
Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic
The goal of the state estimation (SE) algorithm is to estimate complex bus voltages as state variables based on the available set of measurements in the power system. Because phaso…