Fuzzy Logic for Modeling the Knowledge of Users in PARSAT AR Software
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-52005-1_4
Reference43 articles.
1. C. Papakostas, C. Troussas, A. Krouska, and C. Sgouropoulou, “PARSAT: Fuzzy logic for adaptive spatial ability training in an augmented reality system.,” Computer Science and Information Systems, vol. 20, no. 4, 2023, https://doi.org/10.2298/CSIS230130043P.
2. C. Papakostas, C. Troussas, A. Krouska, and C. Sgouropoulou, “Personalization of the Learning Path within an Augmented Reality Spatial Ability Training Application Based on Fuzzy Weights,” Sensors, vol. 22, no. 18, 2022, https://doi.org/10.3390/s22187059.
3. C. Troussas, C. Papakostas, A. Krouska, P. Mylonas, and C. Sgouropoulou, “Personalized Feedback Enhanced by Natural Language Processing in Intelligent Tutoring Systems,” in Augmented Intelligence and Intelligent Tutoring Systems, C. Frasson, P. Mylonas, and C. Troussas, Eds., Cham: Springer Nature Switzerland, 2023, pp. 667–677. https://doi.org/10.1007/978-3-031-32883-1_58.
4. C. Papakostas, C. Troussas, A. Krouska, and C. Sgouropoulou, “Modeling the Knowledge of Users in an Augmented Reality-Based Learning Environment Using Fuzzy Logic,” in Lecture Notes in Networks and Systems, A. Krouska, C. Troussas, and J. Caro, Eds., Cham: Springer International Publishing, 2023, pp. 113–123. https://doi.org/10.1007/978-3-031-17601-2_12.
5. P. Strousopoulos, C. Papakostas, C. Troussas, A. Krouska, P. Mylonas, and C. Sgouropoulou, “SculptMate: Personalizing Cultural Heritage Experience Using Fuzzy Weights,” in Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, in UMAP ’23 Adjunct. New York, NY, USA: Association for Computing Machinery, 2023, pp. 397–407. https://doi.org/10.1145/3563359.3596667.
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