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A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0

Khayyam, Hamid, Jamali, Ali, Bab-Hadiashar, Alireza, Esch, Thomas, Ramakrishna, Seeram, Jalili, Mahdi and Naebe, Minoo 2020, A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0, IEEE access, vol. 8, pp. 111381-111393, doi: 10.1109/ACCESS.2020.2999898.

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Title A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0
Author(s) Khayyam, Hamid
Jamali, Ali
Bab-Hadiashar, Alireza
Esch, Thomas
Ramakrishna, Seeram
Jalili, Mahdi
Naebe, MinooORCID iD for Naebe, Minoo orcid.org/0000-0002-0607-6327
Journal name IEEE access
Volume number 8
Start page 111381
End page 111393
Total pages 13
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Data models
Support vector machines
Big Data
Machine learning
Computational modeling
Principal component analysis
Industries
Industry 40
big data modeling
limited data modeling
multi-objective optimization
Language eng
DOI 10.1109/ACCESS.2020.2999898
Indigenous content off
Field of Research 091307 Numerical Modelling and Mechanical Characterisation
091202 Composite and Hybrid Materials
091012 Textile Technology
08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141303

Document type: Journal Article
Collections: Institute for Frontier Materials
Open Access Collection
GTP Research
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.