MEHIĆ, Miralem, E. DERVISEVIC, Patrik BURDIAK, V. LIPOVAC, Peppino FAZIO and Miroslav VOZŇÁK. Emulation of Quantum Key Distribution Networks.
IEEE Network. Vienna: IEEE, 2025,
39(1), p. 116-123. ISSN 0890-8044.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. Next-cell and mobility prediction in new generation cellular systems based on convolutional neural networks and encoding mobility data as images.
Computer Networks. Elsevier, 2024,
252(2024), p. 1-16. ISSN 1389-1286.
[Detail] DINH NGUYEN DANG, Khoa, Peppino FAZIO and Miroslav VOZŇÁK. A Novel Deep Learning Framework for Intrusion Detection Systems in Wireless Network.
Future Internet. MDPI Open Access Publishing, 2024,
16(8), p. August. ISSN 1999-5903.
[Detail] MEHIĆ, Miralem, Libor MICHALEK, E. DERVISEVIC, Patrik BURDIAK, M. PLAKALOVIC, Jan ROZHON, N. MAHOVAC, F. RICHTER, E. KALJIC, Filip LAUTERBACH, P. NJEMCEVIC, A. MARIC, M. HAMZA, Peppino FAZIO and Miroslav VOZŇÁK. Quantum Cryptography in 5G Networks: A Comprehensive Overview.
IEEE Communications Surveys and Tutorials. Vienna: IEEE, 2024,
26(1), p. 302-346. ISSN 1553-877X.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. Load Monitoring and Appliance Recognition Using an Inexpensive, Low-Frequency, Data-to-Image, Neural Network, and Network Mobility Approach for Domestic IoT Systems.
IEEE Internet of Things Journal. IEEE - Institute of Electrical and Electronics Engineers, 2024,
11(8), p. 13961-13979. ISSN 2327-4662.
[Detail] NGUYEN, Tan N., Lam-Thanh TU, Peppino FAZIO, Trinh VAN CHIEN, Cuong V. LE, Huynh Thi Thanh BINH and Miroslav VOZŇÁK. On the Dilemma of Reliability or Security in Unmanned Aerial Vehicle Communications Assisted by Energy Harvesting Relaying.
IEEE Journal on Selected Areas in Communications. Vienna: IEEE, 2024,
42(1), p. 52-67. ISSN 0733-8716.
[Detail] FAZIO, Peppino, Miralem MEHIĆ, Rango F. DE, M. TROPEA and Miroslav VOZŇÁK. Optimization of mobility sampling in dynamic networks using predictive wavelet analysis.
Pervasive and Mobile Computing. Shannon: Elsevier, 2024,
98(FEB 2024), p. nestránkováno. ISSN 1574-1192.
[Detail] FAZIO, Peppino, Miralem MEHIĆ, Miroslav VOZŇÁK, Floriano DE RANGO and Mauro TROPEA. A novel predictive approach for mobility activeness in mobile wireless networks.
Computer Networks. San Diego: Elsevier, 2023,
226(May 2023), p. nestránkováno. ISSN 1389-1286.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. Effects of sampling frequency on node mobility prediction in dynamic networks: A spectral view.
Digital Communications and Networks. Peking: KeAi Communications, 2023,
9(4), p. 1009-1022. ISSN 2468-5925.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. On the Relationship Between Speed and Mobility Sampling Frequency in Dynamic Urban Networks.
IEEE Systems Journal. Vienna: IEEE, 2023,
17(1), p. 696-707. ISSN 1932-8184.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. A novel urban mobility classification approach based on convolutional neural networks and mobility-to-image encoding.
Journal of King Saud University - Computer and Information Sciences. Rijád: King Saud University, 2023,
35(6), p. nestránkováno. ISSN 1319-1578.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. An Innovative Dynamic Mobility Sampling Scheme Based on Multiresolution Wavelet Analysis in IoT Networks.
IEEE Internet of Things Journal. IEEE, 2022,
9(13), p. 11336-11350. ISSN 2327-4662.
[Detail] TRAN, Thanh Nam, Miroslav VOZŇÁK, Peppino FAZIO and Van Cuu HO. Emerging cooperative MIMO-NOMA networks combining TAS and SWIPT protocols assisted by an AF-VG relaying protocol with instantaneous amplifying factor maximization.
AEU - International Journal of Electronics and Communications. San Diego: Elsevier, 2021,
135(June), p. nestránkováno. ISSN 1434-8411.
[Detail] TRAN, Thanh Nam, T.P. VO, Peppino FAZIO and Miroslav VOZŇÁK. SWIPT Model Adopting a PS Framework to Aid IoT Networks Inspired by the Emerging Cooperative NOMA Technique.
IEEE Access. Vienna: IEEE, 2021,
9(April), p. nestránkováno. ISSN 2169-3536.
[Detail] TIN, P.T., V.-D. PHAN, T.N. NGUYEN, L.-T. TU, B.V. MINH, Miroslav VOZŇÁK and Peppino FAZIO. Outage analysis of the power splitting based underlay cooperative cognitive radio networks.
Sensors. MDPI Open Access Publishing, 2021,
21(22), p. nestránkováno. ISSN 1424-3210.
[Detail] FAZIO, Peppino, Mauro TROPEA, Miroslav VOZŇÁK and Floriano DE RANGO. On packet marking and Markov modeling for IP Traceback: A deep probabilistic and stochastic analysis.
Computer Networks. Elsevier, 2020,
182(2020), p. nestránkováno. ISSN 1389-1286.
[Detail] MEHIĆ, Miralem, Peppino FAZIO, Stefan RASS, Oliver MAURHART, Momtchil PEEV, Andreas POPPE, Jan ROZHON, Marcin NIEMIEC and Miroslav VOZŇÁK. A Novel Approach to Quality-of-Service Provisioning in Trusted Relay Quantum Key Distribution Networks.
IEEE-ACM TRANSACTIONS ON NETWORKING. PISCATAWAY: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020,
28(1), p. 168-181. ISSN 1063-6692.
[Detail] FAZIO, Peppino, Miralem MEHIĆ and Miroslav VOZŇÁK. A deep stochastical and predictive analysis of users mobility based on Auto-Regressive processes and pairing functions.
Journal of Network and Computer Applications. Elsevier, 2020,
168(2020), p. nestránkováno. ISSN 1084-8045.
[Detail] HUYNH TAN, Phuoc, Duy Hung HA, Cong Thanh TRUONG, Peppino FAZIO and Miroslav VOZŇÁK. Secrecy outage probability of a NOMA scheme and impact imperfect channel state information in underlay cooperative cognitive networks.
Sensors. MDPI Open Access Publishing, 2020,
20(3), p. nestránkováno. ISSN 1424-3210.
[Detail] FAZIO, Peppino, Miralem MEHIĆ, Maria MANNONE, Flavio ASTORINO and Miroslav VOZŇÁK. An Overview of a New Statistical Non-Intrusive Load Monitoring (NILM) Analysis and Recognition Approach for Domestic Environments: DENARDO. In:
2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024 : proceedings. Piscataway: IEEE, 2024. p. 465-469. ISBN 979-8-3503-8502-1.
[Detail] DERVISEVIC, Emir, Merima FEHRIC, Dzana PIVAC, Peppino FAZIO, Miroslav VOZŇÁK and Miralem MEHIĆ. Simulations of Selected Quantum Key Distribution Network Use-Cases. In:
2024 International Conference on Quantum Communications, Networking, and Computing, QCNC 2024 : proceedings :1-3 July 2024, Kanazawa, Japan. New York: IEEE, 2024. p. 191-197. ISBN 979-8-3503-6677-8.
[Detail] LE SI, Phú, Minh Sang VAN NGUYEN, Hong Nhu NGUYEN, Dinh Thuan DO, Miroslav VOZŇÁK and Peppino FAZIO. Ergodic Performance Analysis of Intelligent Reflecting Surface Network with Phase Errors. In:
Lecture Notes in Electrical Engineering. Volume 1081. Singapur: Springer, 2024. p. 719-731. ISBN 978-981-9987-02-3.
[Detail] FAZIO, Peppino, Maria MANNONE, Beatrice MARCHIORI, Pietro RIELLO, Norbert MARWAN and Miroslav VOZŇÁK. A Biological Fading Channel Model for Neural Communication Networks: a Preliminary Sketch. In:
Proceedings of the 2024 15th IFIP Wireless and Mobile Networking Conference, WMNC 2024. Piscataway: IEEE, 2024. p. 75-79. ISBN 978-3-903176-68-3.
[Detail] FAZIO, Peppino, Mauro TROPEA, Miralem MEHIĆ, Floriano DE RANGO and Miroslav VOZŇÁK. Performance evaluation of free space optics laser communications for 5g and beyond secure network connections. In:
Proceedings of the International Conference on Simulation and Modeling Methodologies, Technologies and Applications : open access : Rome, 12 July 2023 through 14 July 2023. Setúbal: SciTePress - Science and Technology Publications, 2023. p. 251-258. ISBN 978-989-758-668-2.
[Detail] DERVISEVIC, E., Filip LAUTERBACH, Patrik BURDIAK, Jan ROZHON, Martina SLÍVOVÁ, M. PLAKALOVIC, M. HAMZA, Peppino FAZIO, Miroslav VOZŇÁK and M. MEHIC. Simulations of Denial of Service Attacks in Quantum Key Distribution Networks. In:
2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) : proceedings : June 16 – 18, 2022, Sarajevo, Bosnia and Herzegovina. Piscataway: IEEE, 2022. p. nestránkováno. ISBN 978-1-66546-692-9.
[Detail] DINH NGUYEN DANG, Khoa, Peppino FAZIO and Miroslav VOZŇÁK. High-Speed Users’ Mobility Prediction Scheme Based on Deep Learning for Small Cell and Femtocell Networks. In:
Lecture Notes in Networks and Systems. Volume 366. Cham: Springer, 2022. p. 446-458. ISBN 978-3-030-92573-4.
[Detail] DINH NGUYEN DANG, Khoa, Peppino FAZIO and Miroslav VOZŇÁK. A deep learning-based model for High-Speed Users' Mobility Prediction in Small Cell and Femtocell Networks. In:
2021 29th Telecommunications Forum, TELFOR : Proceedings of Papers = XXIX Telekomunikacioni Forum, TELFOR 2021 : Zbornik radova : Online event : Belgrade, Serbia, November, 23-24, 2021. Piscataway: IEEE, 2021. p. nestránkováno. ISBN 978-1-66542-584-1.
[Detail] FAZIO, Peppino, Miralem MEHIĆ, Pavol PARTILA, Jaromír TOVÁREK and Miroslav VOZŇÁK. A New Mobility Samples Encoding Scheme Based on Pairing Functions and Data Analytics. In:
Proceedings of the 2020 IEEE/ACM 24th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2020. Piscataway: IEEE, 2020. p. nestránkováno. ISBN 978-1-72817-343-6.
[Detail] MEHIĆ, Miralem, Peppino FAZIO and Miroslav VOZŇÁK. Usability of Destination-Sequenced Distance Vector Routing Protocol Routes. In:
International Congress on Ultra Modern Telecommunications and Control Systems and Workshops 2019. Piscataway: IEEE, 2019. p. neuvedeno. ISBN 978-1-72815-763-4.
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