Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins.
- DOI
- 10.3390/s26123807
- Published
- 2026 Jun 15
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26123807,
title = {Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins.},
author = {Ieva S and Loconte D and Loseto G and Lopomo F and Notarnicola M and Sblendorio A and Scioscia F and Ruta M},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26123807},
url = {https://doi.org/10.3390/s26123807}
}RIS
TY - JOUR TI - Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins. AU - Ieva S AU - Loconte D AU - Loseto G AU - Lopomo F AU - Notarnicola M AU - Sblendorio A AU - Scioscia F AU - Ruta M PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26123807 UR - https://doi.org/10.3390/s26123807 ER -
APA
S, I., D, L., G, L., F, L., M, N., A, S., F, S., & M, R. (2026). Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123807
Source records
- pubmed · retrieved 2026-09-25T06:15:14.858Z