https://dblp.org/rdf/schema#authoredBy
|
https://dblp.org/pid/293/1652 +
, https://dblp.org/pid/133/5548 +
, https://dblp.org/pid/60/6411 +
, https://dblp.org/pid/265/0084 +
, https://dblp.org/pid/89/6764-26 +
, https://dblp.org/pid/07/583 +
, https://dblp.org/pid/01/2625 +
, https://dblp.org/pid/97/8704 +
|
https://dblp.org/rdf/schema#bibtexType
|
http://purl.org/net/nknouf/ns/bibtex#Article +
|
https://dblp.org/rdf/schema#createdBy
|
https://dblp.org/pid/293/1652 +
, https://dblp.org/pid/133/5548 +
, https://dblp.org/pid/60/6411 +
, https://dblp.org/pid/265/0084 +
, https://dblp.org/pid/89/6764-26 +
, https://dblp.org/pid/07/583 +
, https://dblp.org/pid/01/2625 +
, https://dblp.org/pid/97/8704 +
|
https://dblp.org/rdf/schema#documentPage
|
https://doi.org/10.1016/J.AEI.2023.102106 +
|
https://dblp.org/rdf/schema#doi
|
https://doi.org/10.1016/J.AEI.2023.102106 +
|
https://dblp.org/rdf/schema#listedOnTocPage
|
https://dblp.org/db/journals/aei/aei57 +
|
https://dblp.org/rdf/schema#monthOfPublication
|
--08
|
https://dblp.org/rdf/schema#numberOfCreators
|
8
|
https://dblp.org/rdf/schema#pagination
|
102106
|
https://dblp.org/rdf/schema#primaryDocumentPage
|
https://doi.org/10.1016/J.AEI.2023.102106 +
|
https://dblp.org/rdf/schema#publishedIn
|
Adv. Eng. Informatics
|
https://dblp.org/rdf/schema#publishedInJournal
|
Adv. Eng. Informatics
|
https://dblp.org/rdf/schema#publishedInJournalVolume
|
57
|
https://dblp.org/rdf/schema#publishedInStream
|
https://dblp.org/streams/journals/aei +
|
https://dblp.org/rdf/schema#title
|
A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics.
|
https://dblp.org/rdf/schema#yearOfPublication
|
2023
|
owl:sameAs |
https://doi.org/10.1016/J.AEI.2023.102106 +
, http://dx.doi.org/10.1016/J.AEI.2023.102106 +
|
rdf:type |
https://dblp.org/rdf/schema#Publication +
, https://dblp.org/rdf/schema#Article +
|
rdfs:label |
Caihua Hao et al.: A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. (2023)
|