reference/36206503

Predicate	Object
contentType	Journal Article
endingPage	14
issn	2162-2388 2162-237X
pageRange	1-14
publicationName	IEEE Transactions on Neural Networks and Learning Systems
startingPage	1
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_30a3b1f03a5ae34c09f747778977bc9e
bibliographicCitation	Wang Y, Wu M, Jin R, Li X, Xie L, Chen Z. Local-Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction. IEEE Trans Neural Netw Learn Syst. 2023 Nov 20;PP(). doi: 10.1109/tnnls.2023.3330487. PMID: 37983145.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-1719-0328 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-8248-2776 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-0762-6562 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_554053cfcf288438a7babdb1970bca40 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-7137-4136 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-0977-3600
date	2023-11-20-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/37983145 https://doi.org/10.1109/tnnls.2023.3330487
isPartOf	https://portal.issn.org/resource/ISSN/2162-237X http://rdf.ncbi.nlm.nih.gov/pubchem/journal/41717 https://portal.issn.org/resource/ISSN/2162-2388
language	English
source	https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Local–Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction

Total number of triples: 25.