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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 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| MARVEL multimodal extreme scale data analytics for smart cities environments 2021.pdf Restricted Access | 738.91 kB | Adobe PDF | View/Open Request a copy |
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