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Tamás Ruppert
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2020 – today
- 2024
- [j16]Abdulrahman K. Eesee, Szilárd Jaskó, György Eigner, János Abonyi, Tamás Ruppert:
Extension of HAAS for the Management of Cognitive Load. IEEE Access 12: 16559-16572 (2024) - [j15]András Rácz-Szabó, Tamás Ruppert, János Abonyi:
Multilayer Network-Based Evaluation of the Efficiency and Resilience of Network Flows. Complex. 2024 (2024) - [j14]Tuan-anh Tran, Tamás Ruppert, János Abonyi:
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. Comput. 13(10): 252 (2024) - [j13]Vincenzo Cutrona, Niko Bonomi, Elias Montini, Tamás Ruppert, Giacomo Delinavelli, Paolo Pedrazzoli:
Extending factory digital Twins through human characterisation in Asset Administration Shell. Int. J. Comput. Integr. Manuf. 37(10-11): 1214-1231 (2024) - [j12]Francesco Pilati, Andrea Sbaragli, Tamás Ruppert, János Abonyi:
Goal-oriented clustering algorithm to monitor the efficiency of logistic processes through real-time locating systems. Int. J. Comput. Integr. Manuf. 37(10-11): 1359-1375 (2024) - [j11]Manuel Müller, Tamás Ruppert, Nasser Jazdi, Michael Weyrich:
Self-improving situation awareness for human-robot-collaboration using intelligent Digital Twin. J. Intell. Manuf. 35(5): 2045-2063 (2024) - [c11]Mónika Gugolya, Tibor Medvegy, János Abonyi, Tamás Ruppert:
Game-Based Design of a Human-Machine Collaboration Monitoring System. APMS (2) 2024: 205-219 - [c10]Zoltán Jeskó, Tuan-anh Tran, Gergely Halász, János Abonyi, Tamás Ruppert:
Enriching Scene-Graph Generation with Prior Knowledge from Work Instruction. APMS (2) 2024: 290-302 - [c9]Chiara Cimini, Francesca Tria, Alexandra Lagorio, Tamás Ruppert, Sandra Mattsson:
Designing Augmented Reality Assistance Systems for Operator 5.0 Solutions in Assembly. APMS (2) 2024: 303-317 - 2023
- [j10]Tamás Ruppert, András Darányi, Tibor Medvegy, Dániel Csereklei, János Abonyi:
Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0. Sensors 23(1): 283 (2023) - [j9]János Hegedüs-Kuti, József Szolosi, Dániel Varga, János Abonyi, Mátyás Andó, Tamás Ruppert:
3D Scanner-Based Identification of Welding Defects - Clustering the Results of Point Cloud Alignment. Sensors 23(5): 2503 (2023) - [j8]Tuan-anh Tran, Márta Péntek, Hossein Motahari-Nezhad, János Abonyi, Levente Kovács, László Gulácsi, György Eigner, Zsombor Zrubka, Tamás Ruppert:
Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6685-6692 (2023) - [c8]László Nagy, Tamás Ruppert, János Abonyi:
Towards an Ontology-Based Fault Detection and Diagnosis Framework - A Semantic Approach. CoDIT 2023: 1267-1272 - [c7]Gergely Halász, Tibor Medvegy, János Abonyi, Tamás Ruppert:
Indoor Positioning-based Occupational Exposures Mapping and Operator Well-being Assessment in Manufacturing Environment. APMS (1) 2023: 543-555 - 2022
- [j7]Tuan-anh Tran, Tamás Ruppert, György Eigner, János Abonyi:
Retrofitting-Based Development of Brownfield Industry 4.0 and Industry 5.0 Solutions. IEEE Access 10: 64348-64374 (2022) - [c6]Andreas Löcklin, Maurice Artelt, Tamás Ruppert, Hannes Vietz, Nasser Jazdi, Michael Weyrich:
Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor. ETFA 2022: 1-8 - [c5]László Nagy, Tamás Ruppert, János Abonyi:
Human-centered knowledge graph-based design concept for collaborative manufacturing. ETFA 2022: 1-8 - [c4]Tamás Ruppert, Andreas Löcklin, David Romero, János Abonyi:
Intelligent Collaborative Manufacturing Space for Augmenting Human Workers in Semi-Automated Manufacturing Systems. ETFA 2022: 1-7 - [c3]Tuan-anh Tran, János Abonyi, Levente Kovács, György Eigner, Tamás Ruppert:
Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. SISY 2022: 313-318 - 2021
- [j6]Tamás Ruppert, Róbert Csalódi, János Abonyi:
Estimation of machine setup and changeover times by survival analysis. Comput. Ind. Eng. 153: 107026 (2021) - [j5]László Nagy, Tamás Ruppert, János Abonyi:
Ontology-Based Analysis of Manufacturing Processes: Lessons Learned from the Case Study of Wire Harness Production. Complex. 2021: 8603515:1-8603515:21 (2021) - [c2]Tuan-anh Tran, Tamás Ruppert, György Eigner, János Abonyi:
Real-time locating system and digital twin in Lean 4.0. SACI 2021: 369-374 - 2020
- [j4]Tamás Ruppert, János Abonyi:
Integration of real-time locating systems into digital twins. J. Ind. Inf. Integr. 20: 100174 (2020) - [j3]András Rácz-Szabó, Tamás Ruppert, László Bántay, Andreas Löcklin, László Jakab, János Abonyi:
Real-Time Locating System in Production Management. Sensors 20(23): 6766 (2020) - [c1]Andreas Löcklin, Tamás Ruppert, László Jakab, Robert Libert, Nasser Jazdi, Michael Weyrich:
Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems. ETFA 2020: 1317-1320
2010 – 2019
- 2018
- [j2]Tamás Ruppert, Gergely Marcell Honti, János Abonyi:
Multilayer Network-Based Production Flow Analysis. Complex. 2018: 6203754:1-6203754:15 (2018) - [j1]Tamás Ruppert, János Abonyi:
Software Sensor for Activity-Time Monitoring and Fault Detection in Production Lines. Sensors 18(7): 2346 (2018)
Coauthor Index
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last updated on 2024-11-08 20:33 CET by the dblp team
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