DiTEC-project/gigantic-dataset-1k

Dataset

Description

Andres Tello*, Huy Truong*, Alexander Lazovik, Victoria Degeler. Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks. Engineering Proceedings. In Press. preprint: https://arxiv.org/abs/2404.15386 (*) Both authors contributed equally. Update We have added headers for CSVs and auxiliary data (duration time, edge list, ordered names.. ) in the configuration file (JSON format). As such, corresponding INP files can be omitted when working with this version. The EXN network has been included in this version, so the total number of processed networks is 11. For more details, please read ZENODO_README.md. Contact For dataset-related questions: Huy Truong For data acquisition: Andres Tello If you use this dataset, please cite: @misc{tello2024largescale, title={Large-Scale Multipurpose Benchmark Datasets For Assessing Data-Driven Deep Learning Approaches For Water Distribution Networks}, author={Andres Tello and Huy Truong and Alexander Lazovik and Victoria Degeler}, year={2024}, eprint={2404.15386}, archivePrefix={arXiv}, primaryClass={cs.LG}, note = {Presented at WDSA CCWI, Ferrara, Italy, July 01st – 04th.} }
Datum van beschikbaarheid27-mei-2024
UitgeverZENODO

Citeer dit