106 citations · 133 across the 7 of their papers we have counts for
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stat.ML2022
Physics-informed neural networks for pathloss prediction
Steffen Limmer, Alberto Martinez Alba, Nicola Michailow
This paper introduces a physics-informed machine learning approach for pathloss prediction. This is achieved by including in the training phase simultaneously (i) physical dependen…
eess.SP2022
Generative Adversarial Networks for Pseudo-Radio-Signal Synthesis
Haythem Chaker, Soumaya Hamouda, Nicola Michailow
For many wireless communication applications, traffic pattern modeling of radio signals combined with channel effects is much needed. While analytical models are used to capture th…