File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems

TitleGuest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems
Authors
Hu, ShiyanChen, YiranZhu, QiColombo, Armando Walter
Issue Date2023
Citation
IEEE Transactions on Automation Science and Engineering, 2023, v. 20, n. 1, p. 3-4 How to Cite?
DOI: http://dx.doi.org/10.1109/TASE.2022.3223583
Persistent Identifierhttp://hdl.handle.net/10722/336364
ISSN
1545-5955
2023 Impact Factor: 5.9
2023 SCImago Journal Rankings: 2.144
ISI Accession Number ID
WOS:001020823500001

 

DC FieldValueLanguage
dc.contributor.authorHu, Shiyan-
dc.contributor.authorChen, Yiran-
dc.contributor.authorZhu, Qi-
dc.contributor.authorColombo, Armando Walter-
dc.date.accessioned2024-01-15T08:26:11Z-
dc.date.available2024-01-15T08:26:11Z-
dc.date.issued2023-
dc.identifier.citationIEEE Transactions on Automation Science and Engineering, 2023, v. 20, n. 1, p. 3-4-
dc.identifier.issn1545-5955-
dc.identifier.urihttp://hdl.handle.net/10722/336364-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Automation Science and Engineering-
dc.titleGuest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TASE.2022.3223583-
dc.identifier.scopuseid_2-s2.0-85147272148-
dc.identifier.volume20-
dc.identifier.issue1-
dc.identifier.spage3-
dc.identifier.epage4-
dc.identifier.eissn1558-3783-
dc.identifier.isiWOS:001020823500001-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats