Works about CYBER physical systems
Results: 2986
INTEROPERABLE MIXED REALITY FOR FACILITY MANAGEMENT: A CYBER-PHYSICAL PERSPECTIVE.
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- Journal of Information Technology in Construction, 2024, v. 29, p. 573, doi. 10.36680/j.itcon.2024.026
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- Article
SCIENTIST AND ORGANIZER OF ENGINEERING EDUCATION.
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- System Research & Information Technologies / Sistemnì Doslìdžennâ ta Ìnformacìjnì Tehnologìï, 2024, n. 4, p. 7
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- Article
IoT-Driven Resilience Monitoring: Case Study of a Cyber-Physical System.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 2092, doi. 10.3390/app15042092
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Efficient Data Aggregation and Message Transmission for Information Processing Model in the CPS-WSN.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 2869, doi. 10.32604/cmc.2024.058122
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Combined Architecture of Destination Sequence Distance Vector (DSDV) Routing with Software Defined Networking (SDN) and Blockchain in Cyber-Physical Systems.
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- Computers, Materials & Continua, 2025, v. 82, n. 2, p. 2311, doi. 10.32604/cmc.2025.057848
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SCConv-Denoising Diffusion Probabilistic Model Anomaly Detection Based on TimesNet.
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- Electronics (2079-9292), 2025, v. 14, n. 4, p. 746, doi. 10.3390/electronics14040746
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Developing a data analytics toolbox for data-driven product planning: a review and survey methodology.
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- AI EDAM, 2024, v. 38, p. 1, doi. 10.1017/S0890060424000209
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- Article
Functional Requirements and Supply Chain Digitalization in Industry 4.0.
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- Information Systems Frontiers, 2024, v. 26, n. 6, p. 2273, doi. 10.1007/s10796-021-10173-1
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- Article
Data Analytics in Industry 4.0: A Survey.
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- Information Systems Frontiers, 2024, v. 26, n. 6, p. 2287, doi. 10.1007/s10796-021-10190-0
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Smart Grid Fault Mitigation and Cybersecurity with Wide-Area Measurement Systems: A Review.
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- Energies (19961073), 2025, v. 18, n. 4, p. 994, doi. 10.3390/en18040994
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A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems.
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- Journal of Artificial Intelligence Research, 2021, v. 72, p. 377, doi. 10.1613/jair.1.12716
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- Article
Special Section of BPMDS 2022—reflections on interactions and responsibility in a digitized business processes ecosystem.
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- Software & Systems Modeling, 2024, v. 23, n. 6, p. 1319, doi. 10.1007/s10270-024-01240-7
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RBPMN: the value of roles for business process modeling.
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- Software & Systems Modeling, 2024, v. 23, n. 6, p. 1375, doi. 10.1007/s10270-024-01202-z
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- Article
How does your model represent the system? A note on model fidelity, underspecification, and uncertainty.
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- Software & Systems Modeling, 2024, v. 23, n. 5, p. 1053, doi. 10.1007/s10270-024-01210-z
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Modeling more software performance antipatterns in cyber-physical systems.
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- Software & Systems Modeling, 2024, v. 23, n. 4, p. 1003, doi. 10.1007/s10270-023-01137-x
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- Article
EMF-Syncer: scalable maintenance of view models over heterogeneous data-centric software systems at run time.
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- Software & Systems Modeling, 2023, v. 22, n. 6, p. 1949, doi. 10.1007/s10270-023-01111-7
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MoDALAS: addressing assurance for learning-enabled autonomous systems in the face of uncertainty.
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- Software & Systems Modeling, 2023, v. 22, n. 5, p. 1543, doi. 10.1007/s10270-023-01090-9
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Report on the State of the SoSyM Journal end of 2022.
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- Software & Systems Modeling, 2023, v. 22, n. 1, p. 1, doi. 10.1007/s10270-023-01085-6
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Editorial to theme section on open environmental software systems modeling.
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- 2022
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- Editorial
Model-driven development of asynchronous message-driven architectures with AsyncAPI.
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- Software & Systems Modeling, 2022, v. 21, n. 4, p. 1583, doi. 10.1007/s10270-021-00945-3
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A model-driven approach to machine learning and software modeling for the IoT: Generating full source code for smart Internet of Things (IoT) services and cyber-physical systems (CPS).
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- Software & Systems Modeling, 2022, v. 21, n. 3, p. 987, doi. 10.1007/s10270-021-00967-x
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An ontological metamodel for cyber-physical system safety, security, and resilience coengineering.
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- Software & Systems Modeling, 2022, v. 21, n. 1, p. 113, doi. 10.1007/s10270-021-00892-z
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- Article
Model-driven engineering city spaces via bidirectional model transformations.
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- Software & Systems Modeling, 2021, v. 20, n. 6, p. 2003, doi. 10.1007/s10270-020-00851-0
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Guest editorial to the theme section on Multi-Paradigm Modeling for Cyber-Physical Systems.
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- 2021
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- Editorial
An actor-based framework for asynchronous event-based cyber-physical systems.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 641, doi. 10.1007/s10270-021-00877-y
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Handling causality and schedulability when designing and prototyping cyber-physical systems.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 667, doi. 10.1007/s10270-021-00866-1
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Multi-paradigm modelling for cyber–physical systems: a descriptive framework.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 611, doi. 10.1007/s10270-021-00876-z
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Guaranteed master for interval-based cosimulation.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 711, doi. 10.1007/s10270-020-00858-7
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Predictions-on-chip: model-based training and automated deployment of machine learning models at runtime: For multi-disciplinary design and operation of gas turbines.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 685, doi. 10.1007/s10270-020-00856-9
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Pragmatic reuse for DSML development: Composing a DSL for hybrid CPS modeling.
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- Software & Systems Modeling, 2021, v. 20, n. 3, p. 837, doi. 10.1007/s10270-020-00831-4
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SoSyM reflections: the 2020 "State of the Journal" report.
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- 2021
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- Editorial
A framework for automated multi-stage and multi-step product configuration of cyber-physical systems.
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- Software & Systems Modeling, 2021, v. 20, n. 1, p. 211, doi. 10.1007/s10270-020-00803-8
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Mixed-semantics composition of statecharts for the component-based design of reactive systems.
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- Software & Systems Modeling, 2020, v. 19, n. 6, p. 1483, doi. 10.1007/s10270-020-00806-5
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A framework for FMI-based co-simulation of human–machine interfaces.
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- Software & Systems Modeling, 2020, v. 19, n. 3, p. 601, doi. 10.1007/s10270-019-00754-9
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Early-stage analysis of cyber-physical production systems through collaborative modelling.
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- Software & Systems Modeling, 2020, v. 19, n. 3, p. 581, doi. 10.1007/s10270-019-00753-w
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Modeling languages in Industry 4.0: an extended systematic mapping study.
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- Software & Systems Modeling, 2020, v. 19, n. 1, p. 67, doi. 10.1007/s10270-019-00757-6
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Modeling foundations for executable model-based testing of self-healing cyber-physical systems.
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- Software & Systems Modeling, 2019, v. 18, n. 5, p. 2843, doi. 10.1007/s10270-018-00703-y
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Editorial to the theme section on model-based design of cyber-physical systems.
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- 2019
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- Editorial
A model-based design approach for simulation and virtual prototyping of automotive control systems using port-Hamiltonian systems.
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- Software & Systems Modeling, 2019, v. 18, n. 3, p. 1637, doi. 10.1007/s10270-017-0646-1
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Rigorous design of cyber-physical systems: Linking physicality and computation.
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- Software & Systems Modeling, 2019, v. 18, n. 3, p. 1613, doi. 10.1007/s10270-017-0642-5
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Hybrid co-simulation: it's about time.
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- Software & Systems Modeling, 2019, v. 18, n. 3, p. 1655, doi. 10.1007/s10270-017-0633-6
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SoSyM significantly reduces its backlog.
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- 2019
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- Editorial
Special Section of BPMDS'2016: Business Processes in a Connected World.
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- 2019
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- Editorial
Toward a framework for self-adaptive workflows in cyber-physical systems.
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- Software & Systems Modeling, 2019, v. 18, n. 2, p. 1117, doi. 10.1007/s10270-017-0639-0
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- Article
Uncertainty-Wise Cyber-Physical System test modeling.
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- Software & Systems Modeling, 2019, v. 18, n. 2, p. 1379, doi. 10.1007/s10270-017-0609-6
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The next evolution of MDE: a seamless integration of machine learning into domain modeling.
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- Software & Systems Modeling, 2019, v. 18, n. 2, p. 1285, doi. 10.1007/s10270-017-0600-2
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Transactional execution of hierarchical reconfigurations in cyber-physical systems.
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- Software & Systems Modeling, 2019, v. 18, n. 1, p. 157, doi. 10.1007/s10270-017-0583-z
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Toward an execution system for self-healing workflows in cyber-physical systems.
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- Software & Systems Modeling, 2018, v. 17, n. 2, p. 551, doi. 10.1007/s10270-016-0551-z
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The Unit-B method: refinement guided by progress concerns.
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- Software & Systems Modeling, 2016, v. 15, n. 4, p. 1091, doi. 10.1007/s10270-015-0456-2
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Industry 4.0 as a Cyber-Physical System study.
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- Software & Systems Modeling, 2016, v. 15, n. 1, p. 17, doi. 10.1007/s10270-015-0493-x
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