Multilayer Network-Based Production Flow Analysis. - Tamás Ruppert; Gergely Marcell Honti; János Abonyi (Complex., 2018)

Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines. - Tamás Ruppert; János Abonyi (Sensors, 2018)

Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems. - Andreas Löcklin; Tamás Ruppert; László Jakab; Robert Libert; Nasser Jazdi; Michael Weyrich (ETFA, 2020)

Integration of real-time locating systems into digital twins. - Tamás Ruppert; János Abonyi (J. Ind. Inf. Integr., 2020)

Real-Time Locating System in Production Management. - András Rácz-Szabó; Tamás Ruppert; László Bántay; Andreas Löcklin; László Jakab; János Abonyi (Sensors, 2020)

Real-time locating system and digital twin in Lean 4.0. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (SACI, 2021)

Estimation of machine setup and changeover times by survival analysis. - Tamás Ruppert; Róbert Csalódi; János Abonyi (Comput. Ind. Eng., 2021)

Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production. - László Nagy; Tamás Ruppert; János Abonyi (Complex., 2021)

Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor. - Andreas Löcklin; Maurice Artelt; Tamás Ruppert; Hannes Vietz; Nasser Jazdi; Michael Weyrich (ETFA, 2022)

Human-centered knowledge graph-based design concept for collaborative manufacturing. - László Nagy; Tamás Ruppert; János Abonyi (ETFA, 2022)

Intelligent Collaborative Manufacturing Space for Augmenting Human Workers in Semi-Automated Manufacturing Systems. - Tamás Ruppert; Andreas Löcklin; David Romero; János Abonyi (ETFA, 2022)

Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. - Tuan-anh Tran; János Abonyi; Levente Kovács; György Eigner; Tamás Ruppert (SISY, 2022)

Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. - Tuan-anh Tran; Tamás Ruppert; György Eigner; János Abonyi (IEEE Access, 2022)

Towards an Ontology-Based Fault Detection and Diagnosis Framework - A Semantic Approach. - László Nagy; Tamás Ruppert; János Abonyi (CoDIT, 2023)

Indoor Positioning-based Occupational Exposures Mapping and Operator Well-being Assessment in Manufacturing Environment. - Gergely Halász; Tibor Medvegy; János Abonyi; Tamás Ruppert (APMS (1), 2023)

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0. - Tamás Ruppert; András Darányi; Tibor Medvegy; Dániel Csereklei; János Abonyi (Sensors, 2023)

3D Scanner-Based Identification of Welding Defects - Clustering the Results of Point Cloud Alignment. - János Hegedüs-Kuti; József Szolosi; Dániel Varga; János Abonyi; Mátyás Andó; Tamás Ruppert (Sensors, 2023)

Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. - Tuan-anh Tran; Márta Péntek; Hossein Motahari-Nezhad; János Abonyi; Levente Kovács; László Gulácsi; György Eigner; Zsombor Zrubka; Tamás Ruppert (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Designing Augmented Reality Assistance Systems for Operator 5.0 Solutions in Assembly. - Chiara Cimini; Francesca Tria; Alexandra Lagorio; Tamás Ruppert; Sandra Mattsson (APMS (2), 2024)

Game-Based Design of a Human-Machine Collaboration Monitoring System. - Mónika Gugolya; Tibor Medvegy; János Abonyi; Tamás Ruppert (APMS (2), 2024)

Enriching Scene-Graph Generation with Prior Knowledge from Work Instruction. - Zoltán Jeskó; Tuan-anh Tran; Gergely Halász; János Abonyi; Tamás Ruppert (APMS (2), 2024)

Extension of HAAS for the Management of Cognitive Load. - Abdulrahman K. Eesee; Szilárd Jaskó; György Eigner; János Abonyi; Tamás Ruppert (IEEE Access, 2024)

Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows. - András Rácz-Szabó; Tamás Ruppert; János Abonyi (Complex., 2024)

Self-improving situation awareness for human-robot-collaboration using intelligent Digital Twin. - Manuel Müller; Tamás Ruppert; Nasser Jazdi; Michael Weyrich (J. Intell. Manuf., 2024)

The Use of eXplainable Artificial Intelligence and Machine Learning Operation Principles to Support the Continuous Development of Machine Learning-Based Solutions in Fault Detection and Identification. - Tuan-anh Tran; Tamás Ruppert; János Abonyi (Comput., 2024)

Extending factory digital Twins through human characterisation in Asset Administration Shell. - Vincenzo Cutrona; Niko Bonomi; Elias Montini; Tamás Ruppert; Giacomo Delinavelli; Paolo Pedrazzoli (Int. J. Comput. Integr. Manuf., 2024)

Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems. - Francesco Pilati; Andrea Sbaragli; Tamás Ruppert; János Abonyi (Int. J. Comput. Integr. Manuf., 2024)

Studying Dual-Task Awareness in Industrial Settings Through Reaction Times and Physiological Signals. - Abdulrahman K. Eesee; David Kostolani; Vera Varga; Taeho Kang; Sebastian Schlund; Tamás Ruppert (CogSIMA, 2025)

Digital Shadow Implementation for Intelligent Maintenance Application - A Case Study. - Gergely Halász; Tibor Medvegy; Gábor Bohár; Tamás Ruppert (SACI, 2025)

Risk-Based Maintenance Optimization of Production Tools in a Dynamic Environment. - Judit Horváth; Tamás Ruppert; András Darányi (SACI, 2025)