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Industry 4.0
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Article
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Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoTSensors (Basel, Switzerland), 2023-10, Vol.23 (20), p.8427 [Peer Reviewed Journal]COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23208427 ;PMID: 37896522Full text available |
| 2 |
Material Type: Thesises (postgraduate)
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Towards Digitization and Machine learning Automation for Cyber-Physical System of SystemsISBN: 9789180480697 ;ISBN: 9180480705 ;ISBN: 9180480691 ;ISBN: 9789180480703Digital Resources/Online E-Resources |
| 3 |
Material Type: Article
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An approach towards demand response optimization at the edge in smart energy systems using local cloudsSmart energy (Amsterdam), 2023-11, Vol.12, p.100123, Article 100123 [Peer Reviewed Journal]2023 ;ISSN: 2666-9552 ;EISSN: 2666-9552 ;DOI: 10.1016/j.segy.2023.100123Full text available |
| 4 |
Material Type: Text Resource
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Deep Ontology Alignment with BERT_INT: Improvements and Industrial Internet of Things (IIoT) Case StudyDigital Resources/Online E-Resources |
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