A multisource dataset for anomaly detection and fault prediction in urban water distribution networks
Crossref DOI link: https://doi.org/10.1038/s41597-026-07203-5
Published Online: 2026-04-17
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Babela, Jan https://orcid.org/0009-0009-2422-3376
Munk, Michal
Munkova, Dasa
Text and Data Mining valid from 2026-04-17
Accepted Manuscript valid from 2026-04-17
Article History
Received: 8 April 2025
Accepted: 31 March 2026
First Online: 17 April 2026
Competing interests
: The authors declare no competing interests.