Downloads provided by UsageCountsMARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments
EC| MARVEL
Bajovic D; Bakhtiarnia A; Bravos G; Brutti A; Burkhardt F; Cauchi D; Chazapis A; Cianco C; Dall'Asen N; Delic V; Dimou C; Djokic D; EscobarMolero A; Esterle L; Eyben F; Farella E; Festi T; Geromitsos A; Giakoumakis G; Hatzivasilis G; Ioannidis S; Iosifidis A; Kallipolitou T; Kalogiannis G; Kiousi A; Kopanaki D; Marazakis M; Markopoulou S; Muscat A; Paissan F; Lobo TP; Pavlovic D; Raptis TP; Ricci E; Saez B; Sahito F; Scerri K; Schuller B; Simic N; Spanoudakis G; Tomasi A; Triantafyllopoulos A; Valerio L; Villazan J; Wang Y; Xuereb A; Zammit J;
MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments
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.
Italy, Germany, Italy
- Aarhus University Denmark
- Universität Augsburg Germany
- Information Technology for Market Leadership (Greece) Greece
- Istituto di Informatica e Telematica Italy
- SPHYNX TECHNOLOGY SOLUTIONS AG Switzerland
ddc:004, Artificial intelligence, Edge-to-Fog-to-Cloud (E2F2C), Data analysis, multimodal, Data acquisition, Edge-to-Fog-to-Cloud (E2F2C), smart city, AI, data analytics, Real-time systems, audio-visual, Smart cities
ddc:004, Artificial intelligence, Edge-to-Fog-to-Cloud (E2F2C), Data analysis, multimodal, Data acquisition, Edge-to-Fog-to-Cloud (E2F2C), smart city, AI, data analytics, Real-time systems, audio-visual, Smart cities
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).12 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% views 17 downloads 17 - 17views17downloads
selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
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