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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.
Bernaerts, M., Oakes, B., Vanherpen, K., Aelvoet, B., Vangheluwe, H., & Denil, J. (2019, September). Validating industrial requirements with a contract-based approach [Paper]. 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C 2019), Munich, Germany. External link
Gomes, C., Oakes, B., Moradi, M., Torres Gamiz, A. C., Mendo, J., Dutré, S., Denil, J., & Vangheluwe, H. (2019, July). HintCO: Hint-based configuration of co-simulations [Paper]. 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2019), Prague, Czech Republic. External link
Karaduman, B., Oakes, B., Eslampanah, R., Denil, J., Vangheluwe, H., & Challenger, M. (2022). An Architecture and Reference Implementation for WSN-Based IoT Systems. In Taser, P. Y. (ed.), Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics (pp. 80-103). External link
Moradi, M., Oakes, B., Saraoğlu, M., Morozov, A., Janschek, K., & Denil, J. (2020, June). Exploring fault parameter space using reinforcement learning-based fault injection [Paper]. 50th IEEE/IFIP Annual International Conference on Dependable Systems and Networks (DSN 2020), Valencia, Spain. External link
Moradi, M., Oakes, B., & Denil, J. (2020, September). Machine learning-assisted fault injection [Paper]. 39th International Conference on Computer Safety, reliability and Security (SAFECOMP 2020), Lisbon, Portugal (4 pages). External link
Meyers, B., Gadeyne, K., Oakes, B., Bernaerts, M., Vangheluwe, H., & Denil, J. (2019, September). A model-driven engineering framework to support the functional safety process [Paper]. 22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C 2019), Munich, Germany. External link
Moradi, M., Gomes, C., Oakes, B., & Denil, J. (2019, July). Optimizing fault injection in FMI co-simulation through sensitivity partitioning [Paper]. Summer Simulation Conference (SummerSim 2019), Berlin, Germany. External link
Oakes, B., Parsai, A., Meyers, B., Dávid, I., Mierlo, S. V., Demeyer, S., Denil, J., Meulenaere, P. D., & Vangheluwe, H. (2022, February). A Digital Twin Description Framework and Its Mapping to Asset Administration Shell [Paper]. Model-Driven Engineering and Software Development, Cham (24 pages). External link
Oakes, B., Gomes, C., Larsen, P. G., Denil, J., Deantoni, J., Cambeiro, J., & Fitzgerald, J. (2023, May). Examining model qualities and their impact on digital twins [Paper]. Annual Modeling and Simulation Conference (ANNSIM 2023), Hamilton, Canada. External link
Oakes, B., Gomes, C., Holzinger, F. R., Benedikt, M., Denil, J., & Vangheluwe, H. (2019, July). Hint-Based Configuration of Co-simulations with Algebraic Loops [Paper]. Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2019), Prague, Czech Republic (28 pages). Unavailable
Oakes, B., Parsai, A., Van Mierlo, S., Demeyer, S., Denil, J., De Meulenaere, P., & Vangheluwe, H. (2021, February). Improving digital twin experience reports [Paper]. 9th International Conference on Model-Driven Engineering and Software Development (MODELSWARD 2021). External link
Oakes, B., Moradi, M., Van Mierlo, S., Vangheluwe, H., & Denil, J. (2021, September). Machine learning-based fault injection for hazard analysis and risk assessment [Paper]. 40th International Conference on Computer Safety, Reliability and Security (SAFECOMP 2021), York, England. External link
Van Mierlo, S., Oakes, B., Van Acker, B., Eslampanah, R., Denil, J., & Vangheluwe, H. (2020, June). Exploring Validity Frames in Practice [Paper]. First International Conference on Systems Modelling and Management (ICSMM 2020), Bergen, Norway. External link
Van Acker, B., Oakes, B., Moradi, M., Demeulenaere, P., & Denil, J. (2020, October). Validity frame concept as effort-cutting technique within the verification and validation of complex cyber-physical systems [Paper]. 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS 2020). External link
