reference/18323441

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/18323441

Outgoing Links

Predicate	Object
contentType	Journal Article
issn	1424-8220
issueIdentifier	7
pageRange	2540-
publicationName	Sensors (Basel, Switzerland)
startingPage	2540
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_3b83ec74c949da1e1fdc678e2019f576 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_f64d0a731299969728898a4ea3ee78d0 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_ff57e562f87782d21cffca1d45991474 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_c676f611e4587cd20c65f443945bcbf0 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_a6cf5788fd969427bc2ac80c74615755
bibliographicCitation	Yu Z, Zhao J, Wang Y, He L, Wang S. Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method. Sensors (Basel). 2021 Apr 05;21(7). PMID: 33916379; PMCID: PMC8038633.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_554053cfcf288438a7babdb1970bca40 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_811cace84866f4fb07f50709dc53e093 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_8772f5626f84564f26a57c32bb793e04 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-4526-8217 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_795d1fc92e6bbd1ee4ceb385f31c3105
date	2021-04-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/33916379 https://pubmed.ncbi.nlm.nih.gov/PMC8038633 https://doi.org/10.3390/s21072540
isPartOf	https://portal.issn.org/resource/ISSN/1424-8220 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/31883
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method
hasPrimarySubjectTerm	http://id.nlm.nih.gov/mesh/D005868 http://id.nlm.nih.gov/mesh/D011788
hasSubjectTerm	http://id.nlm.nih.gov/mesh/D000465 http://id.nlm.nih.gov/mesh/D000069550 http://id.nlm.nih.gov/mesh/D006801 http://id.nlm.nih.gov/mesh/D016571 http://id.nlm.nih.gov/mesh/D006225 http://id.nlm.nih.gov/mesh/D004576

Total number of triples: 35.