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MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time. The EU project MARVEL will research solutions that can improve the integration of multiple data sources in a Smart City environment for harnessing the advantages rooted in multimodal perception of the surrounding environment.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Data analysis; Smart cities; Data acquisition; Real-time systems; Artificial intelligence
Elenco autori:
Valerio, Lorenzo; Raptis, Theofanis
Autori di Ateneo:
RAPTIS THEOFANIS
VALERIO LORENZO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/442592
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