MARVEL: multimodal extreme scale data analytics for smart cities environmentsMARVEL: multimodal extreme scale data analytics for smart cities environments Δημοσίευση σε Συνέδριο Conference Publication 2023-08-022021enThis work was funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957337.www.marvel-project.euA 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.http://creativecommons.org/licenses/by/4.0/143-1472021 International Balkan Conference on Communications and NetworkingBajovic_et_al_BalkanCom_2021.pdfChania [Greece]Library of TUC2023-08-02application/pdf756.7 kBfree 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 David 1989- Esterle Lukas Eyben Florian Farella Elisabetta Festi Thomas Geromitsos, Artemios, 1982- Giakoumakis Giannis Chatzivasilis Georgios Χατζηβασιλης Γεωργιος Ioannidis Sotirios Ιωαννιδης Σωτηριος Iosifidis, Alexandros Kallipolitou Theodora Kalogiannis Grigorios Kiousi Akrivi Kopanaki Despina Marazakis Manolis Markopoulou Stella Muscat Adrian Paissan Francesco Lobo Tomás Pariente Pavlovic Dusan Raptis Theofanis P. Ricci Elisa Saez Borja Sahito, Farhan Hyder Scerri Kenneth Schuller, Björn 1975- Simic Nikola Spanoudakis, George Tomasi Alex Triantafyllopoulos Andreas Valerio Lorenzo Villazán Javier Wang Yiming Xuereb, André Zammit Johan Institute of Electrical and Electronics Engineers Data analysis Smart cities Data acquisition Real-time systems Artificial intelligence