2026

Filters

1. Melnikov, O., Dorofieiev, Y., Shakhnovskiy, Y., Truong, H., & Degeler, V. (2026). A multivariate statistical framework for detection, classification and pre-localization of anomalies in water distribution networks. Expert systems with applications, 313. https://doi.org/10.1016/j.eswa.2026.131450
2. Alief, {Revin N., Lazovik, A., & Dustegor, D. (2026). Coverage-Aware Centrality Strategies for Sparse Sensor Placement in GNN-Based Wastewater Level Estimation. Proceedings of the 22nd International Conference on Intelligent Environments, IE 2026. https://doi.org/10.1109/IE69249.2026.11538983
3. Seidel, D., Tello, A., & Dustegor, D. (2026). Positional Encodings for Graph Neural Networks in Intelligent Water Infrastructure. 2026 22nd International Conference on Intelligent Environments (IE). https://doi.org/10.1109/IE69249.2026.11539028
4. Tello, A. (2026). Graph Representation Learning in Smart Environments: Sensor Embeddings with Graph Neural Networks [PhD thesis, University of Groningen]. https://doi.org/10.33612/diss.1475201941
5. {Colombo Tosatto}, S., Burke, H., {van Beest}, N., & Groefsema, H. (2026). A first and fast symbolic approach for data-aware business process compliance checking. Information and Software Technology, 108047. https://doi.org/10.1016/j.infsof.2026.108047