2025

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1. Truong, H., Tello, A., Lazovik, A., & Degeler, V. (2025). DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks. Scientific Data, 12. https://doi.org/10.1038/s41597-025-06026-0
2. Medema, M., & Lazovik, A. (2025). A safeness condition for minimal separators based on vertex connectivity. Discrete Mathematics, 348(9). https://doi.org/10.1016/j.disc.2025.114524
3. Ahmed, S., Dustegor, D., Lazovik, A., & Wörtche, H. J. (2025, August 22). Windowed Multivariate LSTM Autoencoder for Leak Detection in Water Distribution Networks. The 21st Computing and Control in the Water Industry Conference (CCWI 2025). https://doi.org/10.15131/shef.data.29921204.v1
4. Boughzala, B., Koldehofe, B., & Lazovik, A. (2025). P4mCast: Accelerating and Scaling Fault-Tolerant Atomic Multicast in Multi-Cloud Environment. Proceeding of the 45th IEEE International Conference on Distributed Computing Systems (ICDCS 2025), 1–6. https://hdl.handle.net/11370/fb229f6c-4e0e-4139-b7c0-a6b21673028e
5. Tello, A., & Degeler, V. (2025). Contrasting Global and Local Representations for Human Activity Recognition using Graph Neural Networks. 40th Annual ACM Symposium on Applied Computing, SAC 2025, 630–637. https://doi.org/10.1145/3672608.3707743
6. Boughzala, B., & Koldehofe, B. (2025). In-Network Splitter Function Enabling Highly-Parallel Event Stream Processing. 4th KuVS Expert Talk on Network Softwarization (KuVS FG NetSoft), 1–3. https://doi.org/http://dx.doi.org/10.15496/publikation-105107
7. Chen, L., Saleh, S., Tavormina, F., Mario, L., Li, J., Xie, Z., Masciocchi, N., Brabec, C., Koldehofe, B., & Loi, M. A. (2025). Modulating trapping in low dimensional lead-tin halides for energy-efficient neuromorphic electronics. Advanced Materials.
8. Saleh, S. (2025). Methods and Design for Analog Computing Architectures: Memristors for Enhancing Expressiveness and Energy-Efficiency of Packet Processors (p. 212) [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.1157857827
9. Ahmed, S., Düştegör, D., Lazovik, A., & Wörtche, H. (2025). Windowed Multivariate LSTM Autoencoder for Leak Detection in Water Distribution Networks. The University of Sheffield. https://doi.org/10.15131/SHEF.DATA.29921204.V1