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A Novel Method for Smart Fire Detection Using Acoustic Measurements and Machine Learning: Proof of Concept
ORCID iD: 0000-0002-5032-4367
IVL Swedish Environmental Research Institute.
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2022 (English)In: Fire technology, ISSN 0015-2684, E-ISSN 1572-8099, Vol. 58, no 6, p. 3385-3403Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2022. Vol. 58, no 6, p. 3385-3403
Keywords [en]
Acoustic emissions, Artificial intelligence, Deep neural networks, Fire detection, Machine learning, Sound, Fire detectors, Fires, Learning systems, Acoustic measurements, Early detection system, Fire event, Major hazards, Monetary costs, Novel methods, Proof of concept
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Physical Sciences
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URN: urn:nbn:se:ivl:diva-4108DOI: 10.1007/s10694-022-01307-1OAI: oai:DiVA.org:ivl-4108DiVA, id: diva2:1721633
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Swedish Research Council Formas, 2019-00954Available from: 2022-12-22 Created: 2022-12-22 Last updated: 2022-12-22

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IVL Swedish Environmental Research Institute