http://rdf.ncbi.nlm.nih.gov/pubchem/reference/25117078

Outgoing Links

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contentType Journal Article
issn 2376-5992
pageRange e774-
publicationName PeerJ. Computer science
startingPage e774
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bibliographicCitation Jiang W, Ma Y, Chen R. Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers. PeerJ Comput Sci. 2021;7():e774. PMID: 34901430; PMCID: PMC8627233.
creator http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3c0e6e4476a096108d0e7fb1fe315f4a
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date 2021-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://doi.org/10.7717/peerj-cs.774
https://pubmed.ncbi.nlm.nih.gov/PMC8627233
https://pubmed.ncbi.nlm.nih.gov/34901430
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language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title Gutter oil detection for food safety based on multi-feature machine learning and implementation on FPGA with approximate multipliers

Total number of triples: 21.