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A Probabilistic Gas Patch Prediction Approach for Airborne Gas Source Localization in Non-Uniform Wind Fields
(BAM Bundesanstalt für Materialforschung und -prüfung)
(BAM Bundesanstalt für Materialforschung und -prüfung)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0001-5061-5474
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0003-0217-9326
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2013 (English)In: Proceedings of the 15th ISOEN, 2013Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2013.
National Category
Computer Science
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-30538OAI: oai:DiVA.org:oru-30538DiVA: diva2:644432
Conference
ISOEN 2013, 15th International Symposium on olfaction and Electronic Nose. July 2-5, 2013 in Daegu, Korea
Available from: 2013-08-30 Created: 2013-08-30 Last updated: 2017-10-17Bibliographically approved

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