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Co-simulation at different levels of expertise with Maestro2.
Journal of Systems and Software,
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Digitalization of Large-Scale Testing Facilities for the Wind Industry: DIGIT-BENCH Digital Twin.
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, Sandberg, M., Brander, M., Mollah, M. T., Pokkalla, D. K., Kumar, V. & Spangenberg, J. (2024).
Numerical modeling of fiber orientation in multi-layer, isothermal material-extrusion big area additive manufacturing.
Additive Manufacturing,
92, Article 104396.
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Sensing and Communication of Data from the Physical Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.),
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System Monitoring through a Digital Twin. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.),
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Zayed, Y. N. H., Kristoffersen, A. E., Lohm, G., Kamari, A. & Schultz, C. P. L. (2024).
The Anatomy of an Architect´s Argument: Formally Capturing Socially-Oriented Design Intentions in the Built Environment. In M. Srećković, M. Kassem, R. Soman & A. Chassiakos (Eds.),
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The Potential of Digital Twins: Four Industry Perspectives. In J. Fitzgerald, C. Gomes & P. G. Larsen (Eds.),
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Using FactoryML for Deployment of Machine Learning Models in Industrial Production. In T. Facchinetti, A. Cenedese, L. L. Bello, S. Vitturi, T. Sauter & F. Tramarin (Eds.),
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Addressing time discrepancy between digital and physical twins.
Robotics and Autonomous Systems,
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A Family of Digital T Workflows and Architectures: Exploring Two Cases. In A. Smirnov, H. Panetto & K. Madani (Eds.),
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A review of unit level digital twin applications in the manufacturing industry.
CIRP Journal of Manufacturing Science and Technology,
45, 162-189.
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Assessing Resource Availability in Floodwater Systems for Use in Power-To-X Technologies. In M. Affenzeller, A. G. Bruzzone, E. Jimenez, F. Longo & A. Petrillo (Eds.),
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Building Safer Robots: From Simulation to Hardware Deployment.
2023 27th International Conference on Methods and Models in Automation and Robotics, MMAR 2023 - Proceedings, 63-68.
https://doi.org/10.1109/MMAR58394.2023.10242467
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Constructing Neural Network Based Models for Simulating Dynamical Systems.
ACM Computing Surveys,
55(11), 1-34. Article 236.
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Co-simulation for buildings and smart energy systems — A taxonomic review.
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Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects.
Batteries,
9(7), Article 382.
https://doi.org/10.3390/batteries9070382
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Digital Twin as a Service (DTaaS): A Platform for Digital Twin Developers and Users.
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Digital twin of electric vehicle battery systems: Comprehensive review of the use cases, requirements, and platforms.
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Examining Model Qualities and Their Impact on Digital Twins. In M. J. Blas & G. Alvarez (Eds.),
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https://ieeexplore.ieee.org/document/10155350