Machine Learning-Based Methods for Path Loss Prediction in Urban Environment for LTE Networks. - Nektarios Moraitis; Lefteris Tsipi; Demosthenes Vouyioukas (WiMob, 2020)

Performance evaluation of machine learning methods for path loss prediction in rural environment at 3.7 GHz. - Nektarios Moraitis; Lefteris Tsipi; Demosthenes Vouyioukas; Angelina Gkioni; Spyridon Louvros (Wirel. Networks, 2021)

Satellite Aerial Terrestrial Hybrid NOMA Scheme in 6G Networks: An Unsupervised Learning Approach. - Michail Karavolos; Lefteris Tsipi; Petros S. Bithas; Demosthenes Vouyioukas; P. Takis Mathiopoulos (6GNet, 2022)

On the Assessment of Ensemble Models for Propagation Loss Forecasts in Rural Environments. - Nektarios Moraitis; Lefteris Tsipi; Demosthenes Vouyioukas; Angelina Gkioni; Spyridon Louvros (IEEE Wirel. Commun. Lett., 2022)

A Machine Learning UAV Deployment Approach for Emergency Cellular Networks. - Lefteris Tsipi; Vasileios I. Tatsis; Dimitrios N. Skoutas; Demosthenes Vouyioukas; Charalabos Skianis (ICC, 2023)

Machine Learning-Based Methods for Enhancement of UAV-NOMA and D2D Cooperative Networks. - Lefteris Tsipi; Michail Karavolos; Petros S. Bithas; Demosthenes Vouyioukas (Sensors, 2023)

Enhancing Performance in Hybrid Satellite-Terrestrial Networks: A Novel Joint NOMA-NC Approach. - Michail Karavolos; Nektarios Moraitis; Lefteris Tsipi; Demosthenes Vouyioukas (GLOBECOM, 2024)

Machine learning-based methods for MCS prediction in 5G networks. - Lefteris Tsipi; Michail Karavolos; Grigorios Papaioannou; Maria Volakaki; Demosthenes Vouyioukas (Telecommun. Syst., 2024)

ML-Inspired Multiple Relay Selection in UAV-Enabled Untrusted Networks. - Lefteris Tsipi; Emmanouel T. Michailidis; Konstantinos Maliatsos; Demosthenes Vouyioukas (WCNC, 2025)

AI-Driven Aerial Relay Placement and Power Allocation for Enhanced Secrecy in Untrusted UAV-Enabled Networks. - Lefteris Tsipi; Emmanouel T. Michailidis; Michail Karavolos; Demosthenes Vouyioukas; Athanasios G. Kanatas (IEEE Access, 2025)