Machine learning techniques applied to system characterization and equalization. - Darko Zibar; Jakob Thrane; Jesper Wass; Rasmus T. Jones; Molly Piels; Christian G. Schaeffer (OFC, 2016)

Machine learning techniques for optical communication system optimization. - Darko Zibar; Jesper Wass; Jakob Thrane; Molly Piels (ICTON, 2017)

Gaussian process regression for WDM system performance prediction. - Jesper Wass; Jakob Thrane; Molly Piels; Rasmus T. Jones; Darko Zibar (OFC, 2017)

Combining hardware and simulation for datacenter scaling studies. - Sarah Ruepp; Artur Pilimon; Jakob Thrane; Michael Galili; Michael S. Berger; Lars Dittmann (ONDM, 2017)

Demonstration of NB-IoT for Maritime Use Cases. - Krzysztof Mateusz Malarski; Alexander Victor Tietgen Bardram; Mikkel Delbo Larsen; Jakob Thrane; Martin Nordal Petersen; Lars Moeller; Sarah Ruepp (NOF, 2018)

Internet of Things Connectivity in Deep-Indoor Environments. - Sarah Ruepp; Alba Carrillo Mateo; Krzysztof Mateusz Malarski; Jakob Thrane; Martin Nordal Petersen (NOF, 2018)

User-Centric Power Saving in Self-Organizing Mobile Networks. - Matteo Artuso; Jakob Thrane; Henrik Lehrmann Christiansen (VTC Fall, 2018)

Drive Test Minimization Using Deep Learning with Bayesian Approximation. - Jakob Thrane; Matteo Artuso; Darko Zibar; Henrik Lehrmann Christiansen (VTC Fall, 2018)

Investigation of Deep Indoor NB-IoT Propagation Attenuation. - Krzysztof Mateusz Malarski; Jakob Thrane; Markus Greve Bech; Kamil Macheta; Henrik Lehrmann Christiansen; Martin Nordal Petersen; Sarah Ruepp (VTC Fall, 2019)

Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz. - Jakob Thrane; Darko Zibar; Henrik Lehrmann Christiansen (VTC Fall, 2019)

Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario. - Jakob Thrane; Krzysztof Mateusz Malarski; Henrik Lehrmann Christiansen; Sarah Ruepp (GLOBECOM, 2020)

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge. - Jakob Thrane; Benjamin Sliwa; Christian Wietfeld; Henrik Lehrmann Christiansen (GLOBECOM, 2020)

Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz. - Jakob Thrane; Darko Zibar; Henrik Lehrmann Christiansen (IEEE Access, 2020)

Technical University of Denmark LTE drive test measurements. - Jakob Thrane; Henrik Lehrmann Christiansen; Markus Greve Bech (IEEE DataPort, 2020)

Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios. - Krzysztof Mateusz Malarski; Jakob Thrane; Henrik Lehrmann Christiansen; Sarah Ruepp (IEEE Internet Things J., 2021)

NB-IoT deep-indoor measurements in an underground tunnel system. - Krzysztof Mateusz Malarski; Jakob Thrane; Henrik Lehrmann Christiansen; Sarah Ruepp (IEEE DataPort, 2022)

Mobile Communication System Measurements and Satellite Images. - Jakob Thrane; Henrik Lehrmann Christiansen (IEEE DataPort, 2022)