| The extension of existing end-user mobility dataset based on generative adversarial networks M Ružička, M Vološin, J Gazda, T Maksymyuk 2020 30th International Conference Radioelektronika (RADIOELEKTRONIKA), 1-4, 2020 | 9 | 2020 |
| Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle–based network coverage optimization M Ružička, M Vološin, J Gazda, T Maksymyuk, L Han, M Dohler International Journal of Distributed Sensor Networks 18 (3), 15501477221075544, 2022 | 8 | 2022 |
| Deep learning based mobile network management for 5G and beyond T Maksymyuk, J Gazda, M Ružička, E Slapak, G Bugar, L Han 2020 IEEE 15th International Conference on Advanced Trends in …, 2020 | 8 | 2020 |
| Deep learning-based blockchain framework for the COVID-19 spread monitoring M Ružička, M Vološin, J Gazda, T Maksymyuk 2021 International Conference on Electrical, Computer, Communications and …, 2021 | 1 | 2021 |
| Correcting Defective Trajectories using Conditional GAN M Ružička, M Vološin, J Gazda, T Maksymyuk, Y Bobalo 2021 IEEE 4th International Conference on Advanced Information and …, 2021 | 1 | 2021 |
| The Application of the Machine Learning Principles in the Sports Betting Systems RU Marek, M CHOVANEC Acta Electrotechnica et Informatica 19 (3), 16-20, 2019 | 1 | 2019 |
| Clustering Using Conditional Generative Adversarial Networks (cGANs) M Ružička, M Dopiriak 2023 33rd International Conference Radioelektronika (RADIOELEKTRONIKA), 1-6, 2023 | | 2023 |
| Energy Consumption Optimization for UAV Base Stations With Wind Compensation M Ruzicka, Z Becvar, J Gazda IEEE Communications Letters 27 (4), 1210-1214, 2023 | | 2023 |
