Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/140462
Title: MARVEL : multimodal extreme scale data analytics for smart cities environments
Other Titles: Novi Sad, Serbia, 20-22/09/2021.
Authors: Bajovic, Dragana
Bakhtiarnia, Arian
Bravos, George
Brutti, Alessio
Burkhardt, Felix
Cauchi, Daniel
Chazapis, Antony
Cianco, Claire
Dall’Asen, Nicola
Delic, Vlado
Dimou, Christos
Djokic, Djordje
Escobar-Molero, Antonio
Esterle, Lukas
Eyben, Florian
Farella, Elisabetta
Festi, Thomas
Geromitsos, Artemios
Giakoumakis, Giannis
Hatzivasilis, George
Ioannidis, Sotiris
Iosifidis, Alexandros
Kallipolitou, Theodora
Kalogiannis, Grigorios
Kiousi, Akrivi
Kopanaki, Despina
Marazakis, Manolis
Markopoulou, Stella
Muscat, Adrian
Paissan, Francesco
Pariente Lobo, Tomas
Pavlovic, Dusan
Raptis, Theofanis P.
Ricci, Elisa
Saez, Borja
Sahito, Farhan
Scerri, Kenneth
Schuller, Bjorn
Simic, Nikola
Spanoudakis, George
Tomasi, Alex
Triantafyllopoulos, Andreas
Valerio, Lorenzo
Villazan, Javier
Wang, Yiming
Xuereb, Andre
Zammit, Johan
Keywords: Smart cities
MARVEL (Project)
Artificial intelligence -- Data processing
Edge computing
Cloud computing
Issue Date: 2021-09
Publisher: Institute of Electrical and Electronics Engineers
Citation: Bajovic, D., Bakhtiarnia, A., Bravos, G., Brutti, A., Burkhardt, F., Cauchi, D.,…Zammit, J. (2021, September). MARVEL: Multimodal extreme scale data analytics for smart cities environments. International Balkan Conference on Communications and Networking (BalkanCom), Novi Sad, Serbia,143 –147. IEEE.
Abstract: 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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/140462
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