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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Smati, M., Danjou, C., Cheutet, V., & Laval, J. (2025). Introducing Digital Twins to improve the resilience of System of Systems - a Systematic Literature Review. International Journal on Interactive Design and Manufacturing (IJIDeM), 27 pages. External link
Smati, M., Laval, J., Danjou, C., & Cheutet, V. (2025). Enhancing data anomaly prediction and real-time physical problem detection with Digital Twins and Cognitive Super Digital Twins. Computers & Industrial Engineering, 211, 111616 (14 pages). External link
Smati, M., Laval, J., Cheutet, V., & Danjou, C. (2024, July). Enhancing Data Integrity with CSDT: A Solution to Predict Data Disturbance in IoT Systems [Paper]. 21st IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2024), Bangkok, Thailand. Published in IFIP advances in information and communication technology. External link
Smati, M., Danjou, C., Laval, J., & Cheutet, V. (2025, July). A Digital Twin for System-of-Systems Resilience: A Case Study Applied to a Smart City [Un Jumeau Numérique pour la Résilience d'un Système de Systèmes : Cas d’Application à une Ville Intelligente]. [Paper]. CIGI Qualita MOSIM 2025, Troyes, France (7 pages). Unavailable
Smati, M., Cheutet, V., Laval, J., & Danjou, C. (2024, July). CSDT in Collaboration with a DT: A Solution for Disturbance Prediction In IoT Systems [Paper]. IFIP 21st International Conference on Product Lifecycle Management - Doctoral Workshop, Bangkok, Thailand (2 pages). Unavailable
Smati, M., Cheutet, V., Laval, J., & Danjou, C. (2025, February). Digital Twins of System of Systems [Poster]. 13th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2025), Porto, Portugal (1 page). Unavailable
Smati, M., Danjou, C., Laval, J., & Cheutet, V. (2024, May). Enhancing Data Integrity: A Solution to Predict Data Disturbance in IoT Systems [Abstract]. 2nd annuel congress of Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), Villeurbanne, France (1 page). External link
Smati, M., Laval, J., Cheutet, V., & Danjou, C. (2024, July). The Use of Digital Twins to bolster the resilience of an IoT System of Systems Infrastructure [Paper]. IFIP 21st International Conference on Product Lifecycle Management - Doctoral Workshop, Bangkok, Thailand (7 pages). External link
Smati, M., Cheutet, V., Laval, J., & Danjou, C. (2024, July). WasteTwin: A Digital Twin of a Smart Waste Collection System-of-System [Paper]. IFIP 21st International Conference on Product Lifecycle Management - Doctoral Workshop, Bangkok, Thailand (2 pages). Unavailable
Smati, M., Cheutet, V., Danjou, C., & Laval, J. (2025, February). Digital Twin System of Systems: A Layered Architecture Proposal [Paper]. 13th International Conference on Model-Based Software and Systems Engineering (MODELSWARD 2025), Porto, Portugal. External link
