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- Publisher Website: 10.1109/TASE.2022.3223583
- Scopus: eid_2-s2.0-85147272148
- WOS: WOS:001020823500001
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Article: Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems
Title | Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems |
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Authors | |
Issue Date | 2023 |
Citation | IEEE Transactions on Automation Science and Engineering, 2023, v. 20, n. 1, p. 3-4 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/336364 |
ISSN | 2023 Impact Factor: 5.9 2023 SCImago Journal Rankings: 2.144 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hu, Shiyan | - |
dc.contributor.author | Chen, Yiran | - |
dc.contributor.author | Zhu, Qi | - |
dc.contributor.author | Colombo, Armando Walter | - |
dc.date.accessioned | 2024-01-15T08:26:11Z | - |
dc.date.available | 2024-01-15T08:26:11Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | IEEE Transactions on Automation Science and Engineering, 2023, v. 20, n. 1, p. 3-4 | - |
dc.identifier.issn | 1545-5955 | - |
dc.identifier.uri | http://hdl.handle.net/10722/336364 | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Automation Science and Engineering | - |
dc.title | Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TASE.2022.3223583 | - |
dc.identifier.scopus | eid_2-s2.0-85147272148 | - |
dc.identifier.volume | 20 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 3 | - |
dc.identifier.epage | 4 | - |
dc.identifier.eissn | 1558-3783 | - |
dc.identifier.isi | WOS:001020823500001 | - |