Cloud-Edge MLOps for Diagnostic Analytics and Anomaly Detection in Smart Office Digital Twins

Smart buildings require intelligent and scalable solutions to monitor environmental conditions and manage increasingly complex data streams generated by distributed sensing infrastructures. In this context, the paper presents an edge-enabled Digital Twin framework for smart office environments, inte...

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Autori principali:	Saverio Ieva, Davide Loconte, Giuseppe Loseto, Federico Lopomo, Marianna Notarnicola, Andrea Sblendorio, Floriano Scioscia, Michele Ruta
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2026-06-01
Serie:	Sensors
Soggetti:	Digital Twin smart buildings edge computing Internet of Things anomaly detection time-series analysis
Accesso online:	https://www.mdpi.com/1424-8220/26/12/3807
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