학술논문
MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments
Document Type
Conference
Author
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; Lobo, Tomas Pariente; 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
Source
2021 International Balkan Conference on Communications and Networking (BalkanCom) Communications and Networking (BalkanCom), 2021 International Balkan Conference on. :143-147 Sep, 2021
Subject
Language
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.