AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration.
- DOI
- 10.3390/s25196248
- Published
- 2025 Oct 9
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s25196248,
title = {AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration.},
author = {Rafiq A and Shakir MZ and Gray D and Inglis J and Ferguson F},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25196248},
url = {https://doi.org/10.3390/s25196248}
}RIS
TY - JOUR TI - AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration. AU - Rafiq A AU - Shakir MZ AU - Gray D AU - Inglis J AU - Ferguson F PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25196248 UR - https://doi.org/10.3390/s25196248 ER -
APA
A, R., MZ, S., D, G., J, I., & F, F. (2025). AI and IoT-Driven Monitoring and Visualisation for Optimising MSP Operations in Multi-Tenant Networks: A Modular Approach Using Sensor Data Integration.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25196248
Source records
- pubmed · retrieved 2026-09-26T18:34:12.387Z