MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

D. Bajović, Arian Bakhtiarnia, G. Bravos, A. Brutti, Felix Burkhardt, Daniel Cauchi, A. Chazapis, Claire Cianco, Nicola Dall’Asen, V. Delić, Christos Dimou, Djordje Djokic, Antonio Escobar-Molero, L. Esterle, F. Eyben, Elisabetta Farella, T. Festi, A. Geromitsos, Giannis Giakoumakis, George Hatzivasilis, S. Ioannidis, Alexandros Iosifidis, T. Kallipolitou, Grigorios Kalogiannis, Akrivi Kiousi, D. Kopanaki, M. Marazakis, Stella Markopoulou, A. Muscat, F. Paissan, T. Lobo, D. Pavlović, Theofanis P. Raptis, E. Ricci, Borja Saez, Farhan Sahito, K. Scerri, Björn Schuller, Nikola Simić, G. Spanoudakis, Alex Tomasi, Andreas Triantafyllopoulos, L. Valerio, Javier Villazán, Yiming Wang, A. Xuereb, J. Zammit
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引用次数: 12

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.
MARVEL:面向智慧城市环境的多模式极端规模数据分析
基于数据采集、处理和智能分析的智慧城市需要高效设计和实施各自的人工智能技术和底层基础设施,以便实时无缝分析大量数据。欧盟的MARVEL项目将研究解决方案,以改善智慧城市环境中多个数据源的集成,从而利用植根于对周围环境的多模式感知的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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