output
19982026
most citedSparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Things

530 citations

Showing 2023Show all

12 papers · 1 filter

cond-mat.stat-mech2023★ 6 cited

Random resetting in search problems

Arnab Pal, Viktor Stojkoski, Trifce Sandev

By periodically returning a search process to a known or random state, random resetting possesses the potential to unveil new trajectories, sidestep potential obstacles, and conseq…

econ.GN2023★ 38 cited

Estimating Digital Product Trade through Corporate Revenue Data

Viktor Stojkoski, Philipp Koch, Eva Coll +1

Despite global efforts to harmonize international trade statistics, our understanding of digital trade and its implications remains limited. Here, we introduce a method to estimate…

nlin.AO2023★ 6 cited

Delta-alpha cross-frequency coupling for different brain regions

Dushko Lukarski, Spase Petkoski, Peng Ji +1

Neural interactions occur on different levels and scales. It is of particular importance to understand how they are distributed among different neuroanatomical and physiological re…

astro-ph.HE2023★ 10 cited

Hyperonic uncertainties in neutron stars, mergers and supernovae

Hristijan Kochankovski, Angels Ramos, Laura Tolos

In this work we delve into the temperature-dependent Equation of State (EoS) of baryonic matter within the framework of the FSU2H hadronic model, which comprehensively incorpor…

astro-ph.HE2023★ 26 cited

Thermal behavior as indicator for hyperons in binary neutron star merger remnants

Sebastian Blacker, Hristijan Kochankovski, Andreas Bauswein +2

We provide the first comprehensive study of hyperons in neutron star mergers and quantify their specific impact. We discuss the thermal behavior of hyperonic equations of state~(Eo…

cs.CV2023★ 10 cited

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification

Ivica Dimitrovski, Ivan Kitanovski, Nikola Simidjievski +1

We investigate the utility of in-domain self-supervised pre-training of vision models in the analysis of remote sensing imagery. Self-supervised learning (SSL) has emerged as a pro…