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Towards Integrating Process Mining with Agent-based Modeling and Simulation: State of the Art and Outlook
R Bemthuis, S Lazarova-Molnar
Expert Systems with Applications (ESWA), 2025
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2025 |
4 |
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On the Adoption and Deployment of Secure and Privacy-Preserving IIoT in Smart Manufacturing: A Comprehensive Guide with Recent Advances
S Abdullahi, S Lazarova-Molnar
International Journal of Information Security 24 (1), 53, 2025
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2025 |
3 |
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A Conceptual Framework for Digital Twins of Multi-Agent Systems
HM Lee, R Jamali, S Lazarova-Molnar
The 16th International Conference on Ambient Systems, Networks and …, 2025
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2025 |
1 |
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Fusing Expert Knowledge and Internet of Things Data for Digital Twin Models: Addressing Uncertainty in Expert Statements
M Jungmann, S Lazarova-Molnar
The 40th ACM/SIGAPP Symposium On Applied Computing (SAC 2025), 2025
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2025 |
1 |
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Data-driven Reliability Assessment of Manufacturing Systems using Process Mining
J Friederich, S Lazarova-Molnar
SIMULATION, 2025
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2025 |
1 |
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Reliability assessment of manufacturing systems: A comprehensive overview, challenges and opportunities
J Friederich, S Lazarova-Molnar
Journal of Manufacturing Systems 72, 38-58, 2024
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2024 |
55 |
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Cybersecurity in Distributed Industrial Digital Twins: Threats, Defenses, and Key Takeaways
S Abdullahi, A Zare, S Lazarova-Molnar
The 1st International Workshop on Distributed Digital Twins (DiDiT2024), 2024
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2024 |
7 |
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Data-driven Agent-based Modeling: Experimenting with the Schelling's Model
R Jamali, W Vermeiren, S Lazarova-Molnar
Procedia Computer Science, 2024
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2024 |
6 |
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Validation of Digital Twins in Labor-Intensive Manufacturing: Significance and Challenges
A Zare, S Lazarova-Molnar
Procedia Computer Science, 2024
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2024 |
5 |
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Towards Fusing Data and Expert Knowledge for Better-Informed Digital Twins: An Initial Framework
M Jungmann, S Lazarova-Molnar
Procedia Computer Science, 2024
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2024 |
5 |
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Fusing Expert Knowledge and Data for Simulation Model Discovery in Digital Twins: A Case Study from Reliability Modeling
M Jungmann, S Lazarova-Molnar
2024 Winter Simulation Conference (WSC), 2024
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2024 |
4 |
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A Vision for Advancing Digital Twins Intelligence: Key Insights and Lessons from Decades of Research and Experience with Simulation
S Lazarova-Molnar
The 14th International Conference on Simulation and Modeling Methodologies …, 2024
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2024 |
4 |
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Essential Data Requirements for Industrial Energy Efficiency with Digital Twins: A Case Study Analysis
A Khodadadi, S Lazarova-Molnar
Procedia Computer Science, 2024
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2024 |
4 |
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A Comprehensive Framework for Data-Driven Agent-Based Modeling
R Jamali, S Lazarova-Molnar
2024 Winter Simulation Conference (WSC), 2024
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2024 |
3 |
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Multi-flow Process Mining for Comprehensive Simulation Model Discovery
A Khodadadi, S Lazarova-Molnar
The 14th International Conference on Information Communication and …, 2024
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2024 |
3 |
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Challenges in Developing Digital Twins for Labor-Intensive Manufacturing Systems: A Step towards Human-centricity
M Götz, S Lazarova-Molnar
Procedia Computer Science, 2024
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2024 |
3 |
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Toward a Unified Security Framework for Digital Twin Architectures
S Abdullahi, S Lazarova-Molnar
2024 IEEE International Conference on Cyber Security and Resilience (IEEE …, 2024
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2024 |
2 |
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Supply Chain Digital Twin Framework for Hybrid Manufacturing Strategy Selection: A Case Study from the Semiconductor Industry
A Ghasemi, S Lazarova-Molnar, C Heavey
2024 Winter Simulation Conference (WSC), 2024
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2024 |
1 |
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Discovering Simulation Models from Labor-Intensive Manufacturing Systems
M Götz, S Lazarova-Molnar
2024 Winter Simulation Conference (WSC), 2024
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2024 |
1 |
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Data-Driven Extraction of Simulation Models for Energy-Oriented Digital Twins of Manufacturing Systems: An Illustrative Case Study
A Khodadadi, S Lazarova-Molnar
2024 Winter Simulation Conference (WSC), 2024
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2024 |
1 |