Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 32
Number of items: 32
  • Open Access
    Degeler, V., Hadadian, M., Karabulut, E., Lazovik, A., van het Loo, H., Tello, A., & Truong, H. (2025). DiTEC: Digital Twin for Evolutionary Changes in Water Distribution Networks. In T. Margaria, & B. Steffen (Eds.), Leveraging Applications of Formal Methods, Verification and Validation. Application Areas: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024 : proceedings (Vol. V, pp. 62-82). (Lecture Notes in Computer Science; Vol. 15223). Springer. https://doi.org/10.1007/978-3-031-75390-9_5
  • Open Access
    Karabulut, E., Groth, P., & Degeler, V. (2025). PyAerial: Scalable association rule mining from tabular data. SoftwareX, 31, Article 102341. https://doi.org/10.1016/j.softx.2025.102341
  • Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024, May 27). Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11353195
  • Open Access
    Lotfian Delouee, M., Pernes, D. G., Degeler, V., & Koldehofe, B. (2024). Poster: Towards Federated LLM-Powered CEP Rule Generation and Refinement. In DEBS 2024: Proceedings of the 18th ACM International Conference on Distributed and Event-based Systems : June 25-29, 2024, Villeurbanne, France (pp. 185-186). Association for Computing Machinery. https://doi.org/10.1145/3629104.3672429
  • Open Access
    Lotfian Delouee, M., Degeler, V., Amthor, P., & Koldehofe, B. (2024). APP-CEP: Adaptive Pattern-level Privacy Protection in Complex Event Processing Systems. In G. Lenzini, P. Mori, & S. Furnell (Eds.), ICISSP 2024: Proceedings of the 10th International Conference on Information Systems Security and Privacy : 26-28 February, 2024, Rome, Italy (pp. 486-497). SciTePress. https://doi.org/10.5220/0012358700003648
  • Open Access
    Khalil, A., Lotfian Delouee, M., Degeler, V., Meuser, T., Fernandez Anta, A., & Koldehofe, B. (2024). Driving Towards Efficiency: Adaptive Resource-Aware Clustered Federated Learning in Vehicular Networks. In 2024 22nd Mediterranean Communication and Computer Networking Conference: MedComNet 2024 : Nice, France, 11-13 June 2024 (pp. 55-64). IEEE. https://doi.org/10.1109/MedComNet62012.2024.10578208
  • Open Access
    Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2024). Graph Neural Networks for Pressure Estimation in Water Distribution Systems. Water Resources Research, 60(7), Article e2023WR036741. https://doi.org/10.1029/2023WR036741
  • Open Access
    Tello, A., Degeler, V., & Lazovik, A. (2024). Too Good To Be True: accuracy overestimation in (re)current practices for Human Activity Recognition. In 2024 IEEE International Conference on Pervasive Computing and Communications workshops and other affiliated events (PerCom workshops 2024) : Biarritz, France, 11-15 March 2024 (pp. 511-517). IEEE. https://doi.org/10.1109/PerComWorkshops59983.2024.10503465
  • Open Access
    Karabulut, E., Pileggi, S. F., Groth, P., & Degeler, V. (2024). Ontologies in Digital Twins: A Systematic Literature Review. Future Generation Computer Systems, 153, 442-456. https://doi.org/10.1016/j.future.2023.12.013
  • Open Access
    Tello, A., Truong, H., Lazovik, A., & Degeler, V. (2024). Large-Scale Multipurpose Benchmark Datasets for Assessing Data-Driven Deep Learning Approaches for Water Distribution Networks. Engineering Proceedings, 69, Article 50. https://doi.org/10.3390/engproc2024069050
Page 2 of 4