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What Do People Expect from a Financial Awareness Platform? Insights from an Online Survey Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Towards Air Quality Estimation Using Collected Multimodal Environmental Data

Authors : Anastasia Moumtzidou, Symeon Papadopoulos, Stefanos Vrochidis, Ioannis Kompatsiaris, Konstantinos Kourtidis, George Hloupis, Ilias Stavrakas, Konstantina Papachristopoulou, Christodoulos Keratidis

Published in: Collective Online Platforms for Financial and Environmental Awareness

Publisher: Springer International Publishing

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Abstract

This paper presents an open platform, which collects multimodal environmental data related to air quality from several sources including official open sources, social media and citizens. Collecting and fusing different sources of air quality data into a unified air quality indicator is a highly challenging problem, leveraging recent advances in image analysis, open hardware, machine learning and data fusion. The collection of data from multiple sources aims at having complementary information, which is expected to result in increased geographical coverage and temporal granularity of air quality data. This diversity of sources constitutes also the main novelty of the platform presented compared with the existing applications.

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previous chapter Analysis of Public Interest in Environmental Health Information: Fine Tuning Content for Dissemination via Social Media
next chapter ENVI4ALL: Personalised Air Quality Information Based on Open Environmental Data and User-Generated Information
Footnotes
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Metadata
Title
Towards Air Quality Estimation Using Collected Multimodal Environmental Data
Authors
Anastasia Moumtzidou
Symeon Papadopoulos
Stefanos Vrochidis
Ioannis Kompatsiaris
Konstantinos Kourtidis
George Hloupis
Ilias Stavrakas
Konstantina Papachristopoulou
Christodoulos Keratidis
Copyright Year
2016
Book
Collective Online Platforms for Financial and Environmental Awareness

Print ISBN: 978-3-319-50236-6

Electronic ISBN: 978-3-319-50237-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50237-3_7

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