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Dániel Ficzere
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2020 – today
- 2025
- [j7]Gergely Hollósi
, Dániel Ficzere
Adaptive Kalman Filtering in Offset Estimation for Precision Time Protocol. IEEE Trans. Ind. Informatics 21(1): 396-404 (2025) - 2024
- [c17]Ruba Almahasneh, Gergely Hollósi, Dániel Ficzere, Máté Bancsics, Csaba Lukovszki, Pál Varga:
Uncovering Common AI Challenges Across Industrial Domains in the Transition to Industry 5.0. CNSM 2024: 1-7 - [c16]Gergely Hollósi, Dániel Ficzere, Pál Varga:
Generative AI for Low-Level NETCONF Configuration in Network Management Based on YANG Models. CNSM 2024: 1-7 - [c15]Gergely Hollósi, Dániel Ficzere, Attila Frankó, Máté Bancsics, Ruba Almahasneh, Csaba Lukovszki, Pál Varga:
AIMS5.0 AI Toolbox: Enabling Efficient Knowledge Sharing for Industrial AI. NOMS 2024: 1-6 - 2023
- [j6]Dániel Ficzere, Pál Varga, András Wippelhauser
Large-Scale Cellular Vehicle-to-Everything Deployments Based on 5G - Critical Challenges, Solutions, and Vision towards 6G: A Survey. Sensors 23(16): 7031 (2023) - [c14]Dániel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga:
AI Toolbox Concept for the Arrowhead Framework. CNSM 2023: 1-7 - [c13]Dániel Ficzere, Gergely Hollósi, Attila Frankó, Pál Varga, József Bíró:
Orderliness of Navigation Patterns in Hyperbolic Complex Networks. COMPLEX NETWORKS (3) 2023: 271-282 - [c12]Dániel Ficzere, Gergely Hollósi, Pál Varga:
Live traffic analysis on S1-MME interface using LSTM autoencoder. MeditCom 2023: 68-73 - [c11]Pal Patrik Varga
Analyzing self-similarities in network traffic, water levels, and currency exchange rates. NOMS 2023: 1-6 - 2022
- [j5]Gabor Soos
Analyzing group behavior patterns in a cellular mobile network for 5G use-cases. Int. J. Netw. Manag. 32(1) (2022) - [j4]Attila Frankó
Applied Machine Learning for IIoT and Smart Production - Methods to Improve Production Quality, Safety and Sustainability. Sensors 22(23): 9148 (2022) - [c10]Dániel Ficzere, Gergely Hollósi, Attila Frankó, András Gulyás:
Random Walk for Generalization in Goal-Directed Human Navigation on Wikipedia. COMPLEX NETWORKS (1) 2022: 202-213 - [c9]Dániel Ficzere:
Complex network theory to model 5G Network Slicing. NOMS 2022: 1-4 - [c8]Dániel Ficzere, Dhruvin Patel, Joachim Sachs, Junaid Ansari, Gábor Soós, Pál Varga:
5G public network integration for a real-life PROFINET application. NOMS 2022: 1-5 - 2021
- [j3]Viktor Tihanyi
Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies. Sensors 21(6): 2169 (2021) - [c7]Dániel Ficzere, Gabor Soos, Pál Varga:
A compact 5G Non-Public Network. CNSM 2021: 518-520 - [c6]Dániel Ficzere, Gábor Soós, Pál Varga, Zsolt Szalay:
Real-life V2X Measurement Results for 5G NSA Performance on a High-speed Motorway. IM 2021: 836-841 - 2020
- [j2]Pál Varga, József Peto, Attila Franko, David Balla, Dávid Haja, Ferenc Nándor Janky, Gabor Soos
5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps. Sensors 20(3): 828 (2020) - [j1]Zsolt Szalay
5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach. Sensors 20(24): 7344 (2020) - [c5]Gábor Soós, Dániel Ficzere, Pál Varga:
Investigating the network traffic of Industry 4.0 applications - methodology and initial results. CNSM 2020: 1-6 - [c4]Gábor Soós, Dániel Ficzere, Pál Varga:
User Group Behavioural Pattern in a Cellular Mobile Network for 5G Use-cases. NOMS 2020: 1-7 - [c3]Gábor Soós, Dániel Ficzere, Pál Varga, Zsolt Szalay:
Practical 5G KPI Measurement Results on a Non-Standalone Architecture. NOMS 2020: 1-5 - [c2]Gábor Soós, Dániel Ficzere, Pál Varga:
The Pursuit of NB-IoT Transmission Rate Limitations by Real-life Network Measurements. TSP 2020: 430-434
2010 – 2019
- 2019
- [c1]Dániel Kozma, Gábor Soós, Dániel Ficzere, Pál Varga:
Communication Challenges and Solutions between Heterogeneous Industrial IoT Systems. CNSM 2019: 1-6
Coauthor Index
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