Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. - Dániel Kozma; Gábor Soós; Dániel Ficzere; Pál Varga (CNSM, 2019)

Investigating the network traffic of Industry 4.0 applications - methodology and initial results. - Gábor Soós; Dániel Ficzere; Pál Varga (CNSM, 2020)

User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases. - Gábor Soós; Dániel Ficzere; Pál Varga (NOMS, 2020)

Practical 5G KPI Measurement Results on a Non-Standalone Architecture. - Gábor Soós; Dániel Ficzere; Pál Varga; Zsolt Szalay (NOMS, 2020)

The Pursuit of NB-IoT Transmission Rate Limitations by Real-life Network Measurements. - Gábor Soós; Dániel Ficzere; Pál Varga (TSP, 2020)

5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. - Zsolt Szalay; Dániel Ficzere; Viktor Tihanyi; Ferenc Magyar; Gábor Soós; Pál Varga (Sensors, 2020)

5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps. - Pál Varga; József Peto; Attila Franko; David Balla; Dávid Haja; Ferenc Nándor Janky; Gabor Soos; Dániel Ficzere; Markosz Maliosz; László Toka (Sensors, 2020)

A compact 5G Non-Public Network. - Dániel Ficzere; Gabor Soos; Pál Varga (CNSM, 2021)

Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. - Dániel Ficzere; Gábor Soós; Pál Varga; Zsolt Szalay (IM, 2021)

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies. - Viktor Tihanyi; Tamás Tettamanti; Mihály Csonthó; Arno Eichberger; Dániel Ficzere; Kálmán Gangel; Leander B. Hörmann; Maria Anneliese Klaffenböck; Christoph Knauder; Patrick Luley; Zoltán Ferenc Magosi; Gábor Magyar; et al. (Sensors, 2021)

Random Walk for Generalization in Goal-Directed Human Navigation on Wikipedia. - Dániel Ficzere; Gergely Hollósi; Attila Frankó; András Gulyás (COMPLEX NETWORKS (1), 2022)

Complex network theory to model 5G Network Slicing. - Dániel Ficzere (NOMS, 2022)

5G public network integration for a real-life PROFINET application. - Dániel Ficzere; Dhruvin Patel; Joachim Sachs; Junaid Ansari; Gábor Soós; Pál Varga (NOMS, 2022)

Analyzing group behavior patterns in a cellular mobile network for 5G use-cases. - Gabor Soos; Dániel Ficzere; Pál Varga (Int. J. Netw. Manag., 2022)

Applied Machine Learning for IIoT and Smart Production - Methods to Improve Production Quality, Safety and Sustainability. - Attila Frankó; Gergely Hollósi; Dániel Ficzere; Pál Varga (Sensors, 2022)

AI Toolbox Concept for the Arrowhead Framework. - Dániel Ficzere; Gergely Hollósi; Attila Frankó; Pál Varga (CNSM, 2023)

Orderliness of Navigation Patterns in Hyperbolic Complex Networks. - Dániel Ficzere; Gergely Hollósi; Attila Frankó; Pál Varga; József Bíró (COMPLEX NETWORKS (3), 2023)

Live traffic analysis on S1-MME interface using LSTM autoencoder. - Dániel Ficzere; Gergely Hollósi; Pál Varga (MeditCom, 2023)

Analyzing self-similarities in network traffic, water levels, and currency exchange rates. - Pal Patrik Varga; Pál Varga; Dániel Ficzere (NOMS, 2023)

Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G - Critical Challenges, Solutions, and Vision towards 6G: A Survey. - Dániel Ficzere; Pál Varga; András Wippelhauser; Hamdan Hejazi; Olivér Csernyava; Adorjan Kovacs; Csaba Hegedüs (Sensors, 2023)

Uncovering Common AI Challenges Across Industrial Domains in the Transition to Industry 5.0. - Ruba Almahasneh; Gergely Hollósi; Dániel Ficzere; Máté Bancsics; Csaba Lukovszki; Pál Varga (CNSM, 2024)

Generative AI for Low-Level NETCONF Configuration in Network Management Based on YANG Models. - Gergely Hollósi; Dániel Ficzere; Pál Varga (CNSM, 2024)

AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. - Gergely Hollósi; Dániel Ficzere; Attila Frankó; Máté Bancsics; Ruba Almahasneh; Csaba Lukovszki; Pál Varga (NOMS, 2024)

A Distributed and Self-Organizing Attack Model in Hyperbolically Embedded Networks. - András Majdán; Lejla Pasic; Dániel Ficzere; Gergely Hollósi; József Bíró (NetSoft, 2025)

Beyond Intent Translation: Research Gaps in the Application of Generative AI for Intent-Based Networking. - Dániel Ficzere; Gergely Hollósi; Pál Varga (NOMS, 2025)

AI-Driven Network Configuration and Operation. - Dániel Ficzere; Pál Varga (NOMS, 2025)

IoT Connectivity Management by Hyperbolic Trees. - András Majdán; Lejla Pasic; Dániel Ficzere; Gergely Hollósi; Zalán Heszberger; Rolland Vida; József Bíró (NOMS, 2025)

Adaptive Kalman Filtering in Offset Estimation for Precision Time Protocol. - Gergely Hollósi; Dániel Ficzere (IEEE Trans. Ind. Informatics, 2025)