Your browser doesn't support javascript.
loading
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT.
Javed, Saleha; Usman, Muhammad; Sandin, Fredrik; Liwicki, Marcus; Mokayed, Hamam.
Affiliation
  • Javed S; Machine Learning, Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187 Lulea, Sweden.
  • Usman M; Department of Computer Science, National University of Computer and Emerging Sciences, Chiniot-Faisalabad Campus, Chiniot 35400, Pakistan.
  • Sandin F; Machine Learning, Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187 Lulea, Sweden.
  • Liwicki M; Machine Learning, Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187 Lulea, Sweden.
  • Mokayed H; Machine Learning, Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187 Lulea, Sweden.
Sensors (Basel) ; 23(20)2023 Oct 12.
Article in En | MEDLINE | ID: mdl-37896522
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Sweden Country of publication: Switzerland
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Affiliation country: Sweden Country of publication: Switzerland