Research output per year
Research output per year
Fingerprint
Dive into the research topics where R. Taormina is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
A deep-learning model for predicting the planform evolution of braided sand-bed rivers
Magherini, A., Mosselman, E., Chavarrías, V. & Taormina, R., 2025, Crossing boundaries: NCR DAYS 2025 Proceedings, Book of Abstracts. Chavarrias, V. & Van den Hoek, A. M. (eds.). NCR (Netherlands Centre for River Studies), p. 26-27 2 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile8 Downloads (Pure) -
Deep learning for planform predictions of braided rivers
Magherini, A., Mosselman, E., Chavarrias Borras, V. & Taormina, R., 2025. 1 p.Research output: Contribution to conference › Abstract › Scientific
Open AccessFile1 Downloads (Pure) -
Multi-scale hydraulic graph neural networks for flood modelling
Bentivoglio, R., Isufi, E., Jonkman, S. N. & Taormina, R., 2025, In: Natural Hazards and Earth System Sciences. 25, 1, p. 335–351 17 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile36 Downloads (Pure) -
SchemaGAN: A conditional Generative Adversarial Network for geotechnical subsurface schematisation
Campos Montero, F. A., Zuada Coelho, B., Smyrniou, E., Taormina, R. & Vardon, P. J., 2025, In: Computers and Geotechnics. 183, 13 p., 107177.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile35 Downloads (Pure) -
State estimation in water distribution system via diffusion on the edge space
Kerimov, B., Yang, M., Taormina, R. & Tscheikner-Gratl, F., 2025, In: Water Research. 274, 122980.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile30 Downloads (Pure)
Datasets
-
Data for paper "Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks"
Garzón Díaz, J. A. (Creator), Kapelan, Z. (Creator), Langeveld, J. G. (Creator) & Taormina, R. (Creator), TU Delft - 4TU.ResearchData, 12 Sept 2024
DOI: 10.4121/FEC1E3DE-9586-4A61-B3A1-02382592E52C
Dataset/Software: Dataset
-
SWMM GNN metamodel – Code for paper: Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks
Garzón Díaz, J. A. (Creator), Kapelan, Z. (Creator), Langeveld, J. G. (Creator) & Taormina, R. (Creator), TU Delft - 4TU.ResearchData, 2024
DOI: 10.4121/989A0D3D-3B4D-47C7-8677-31C5975F9DEC
Dataset/Software: Software