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Conference Paper: 3D laser absorption imaging of combustion gases assisted by deep learning

Title3D laser absorption imaging of combustion gases assisted by deep learning
Authors
Wei, ChuyuSchwarm, Kevin K.Pineda, Daniel I.Spearrin, R. Mitchell
Issue Date2020
Citation
Optics Infobase Conference Papers, 2020, article no. LTh5F.1 How to Cite?
AbstractMid-infrared laser absorption imaging of combustion species is expanded to three dimensions using a deep learning-based approach to the inversion problem. Initial CH4 and CO measurements are performed in laminar flames.
Persistent Identifierhttp://hdl.handle.net/10722/365600

 

DC FieldValueLanguage
dc.contributor.authorWei, Chuyu-
dc.contributor.authorSchwarm, Kevin K.-
dc.contributor.authorPineda, Daniel I.-
dc.contributor.authorSpearrin, R. Mitchell-
dc.date.accessioned2025-11-05T09:46:20Z-
dc.date.available2025-11-05T09:46:20Z-
dc.date.issued2020-
dc.identifier.citationOptics Infobase Conference Papers, 2020, article no. LTh5F.1-
dc.identifier.urihttp://hdl.handle.net/10722/365600-
dc.description.abstractMid-infrared laser absorption imaging of combustion species is expanded to three dimensions using a deep learning-based approach to the inversion problem. Initial CH4 and CO measurements are performed in laminar flames.-
dc.languageeng-
dc.relation.ispartofOptics Infobase Conference Papers-
dc.title3D laser absorption imaging of combustion gases assisted by deep learning-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-85098982827-
dc.identifier.spagearticle no. LTh5F.1-
dc.identifier.epagearticle no. LTh5F.1-
dc.identifier.eissn2162-2701-

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