http://rdf.ncbi.nlm.nih.gov/pubchem/reference/1292356
Outgoing Links
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Object
contentType
Journal Article
endingPage
EL369
issn
0001-4966
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issueIdentifier
4
pageRange
EL363-EL369
publicationName
The Journal of the Acoustical Society of America
startingPage
EL363
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bibliographicCitation
Li X, Song W, Gao D, Gao W, Wang H. Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations. J Acoust Soc Am. 2020 Apr;147(4):EL363. doi: 10.1121/10.0001125. PMID: 32359287.
creator
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http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_bb530bad5ad88764ee0c10914aa739ce
date
2020-04-01-04:00
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identifier
https://pubmed.ncbi.nlm.nih.gov/32359287
https://doi.org/10.1121/10.0001125
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language
English
source
https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title
Training a U-Net based on a random mode-coupling matrix model to recover acoustic interference striations
Total number of triples:
25
.