Proactive Maintenance of Railway Switches. - Csaba Hegedüs; Paolo Ciancarini; Attila Franko; Ales Kancilija; István Moldován; Gregor Papa; Spela Poklukar; Mario Riccardi; Alberto Sillitti; Pál Varga (CoDIT, 2018)

Secure and trusted inter-cloud communications in the arrowhead framework. - Csaba Hegedüs; Pál Varga; Attila Franko (ICPS, 2018)

Asset and Production Tracking through Value Chains for Industry 4.0 using the Arrowhead Framework. - Csaba Hegedüs; Attila Frankó; Pál Varga (ICPS, 2019)

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0. - Attila Frankó; Gergely Vida; 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 DevOps Approach for Cyber-Physical System-of-Systems Engineering through Arrowhead. - Csaba Hegedüs; Pál Varga; Attila Frankó (IM, 2021)

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

Towards CBDC-supported Smart Contracts for Industrial Stakeholders. - Attila Frankó; Bence Oláh; Zoltán Sass; Csaba Hegedüs; Pál Varga (ICPS, 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)

Settling Issues in IEEE 802.1AS Networks in PI Based Clock Servos. - Attila Frankó; Gergely Hollósi (CNSM, 2023)

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

Enabling Scalable Smart Vertical Farming with IoT and Machine Learning Technologies. - Csaba Hegedüs; Attila Frankó; Pál Varga; Stefan Gindl; Markus Tauber (NOMS, 2023)

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)