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Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data

Schulz, Axel and Karolus, Jakob and Janssen, Frederik and Schweizer, Immanuel (2015):
Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data.
In: Proceedings of the International Conference on Networked Systems (NetSys2015), pp. 121-128,
Piscataway, NJ, IEEE, International Conference and Workshops on Networked Systems (NetSys), Cottbus, 9-12 March 2015, ISBN 978-1-4799-5804-7,
DOI: 10.1109/NetSys.2015.7089079,
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2015
Creators: Schulz, Axel and Karolus, Jakob and Janssen, Frederik and Schweizer, Immanuel
Title: Accurate Pollutant Modeling and Mapping: Applying Machine Learning to Participatory Sensing and Urban Topology Data
Language: English
Title of Book: Proceedings of the International Conference on Networked Systems (NetSys2015)
Place of Publication: Piscataway, NJ
Publisher: IEEE
ISBN: 978-1-4799-5804-7
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Knowl­edge En­gi­neer­ing
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
Zentrale Einrichtungen
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A1: Modelling
Event Title: International Conference and Workshops on Networked Systems (NetSys)
Event Location: Cottbus
Event Dates: 9-12 March 2015
Date Deposited: 20 Apr 2015 15:30
DOI: 10.1109/NetSys.2015.7089079
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7089079
Identification Number: doi:10.1109/NetSys.2015.7089079
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