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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Saverio Ieva, Davide Loconte, Giuseppe Loseto, Federico Lopomo, Marianna Notarnicola, Andrea Sblendorio, Floriano Scioscia, Michele Ruta
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Sensors
Assuntos:	Digital Twin smart buildings edge computing Internet of Things anomaly detection time-series analysis
Acesso em linha:	https://www.mdpi.com/1424-8220/26/12/3807
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!