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Toolset Development for Modelling Sympathetic Phenomenon and its Detection by a Neural Network
Galkin, Nikolai
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
ORCID iD:
0000-0001-9299-0811
Yang, Chen-Wei
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
ORCID iD:
0000-0003-0075-1608
Etherden, Nicholas
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
ORCID iD:
0000-0003-0749-7366
Bollen, Math
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
ORCID iD:
0000-0003-4074-9529
Vyatkin, Valeriy
Department of Electrical Engineering, Aalto University Espoo, Finland.
ORCID iD:
0000-0002-9315-9920
Wu, Yiming
Vattenfall R&D, Solna, Sweden.
Show others and affiliations
2023 (English)
In:
2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), IEEE, 2023
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Dependable Communication and Computation Systems; Electric Power Engineering
Identifiers
URN:
urn:nbn:se:ltu:diva-105002
DOI:
10.1109/ONCON60463.2023.10431303
ISI:
001172877700178
Scopus ID:
2-s2.0-85186749130
OAI: oai:DiVA.org:ltu-105002
DiVA, id:
diva2:1849457
Conference
2nd IEEE Industrial Electronics Society Annual On-Line Conference (IES ONCON 2023), United States, [DIGITAL], December 8-10, 2023
Funder
Vinnova, 2022-03002
Note
ISBN for host publication: 979-8-3503-5797-4;
Available from:
2024-04-08
Created:
2024-04-08
Last updated:
2024-11-20
Bibliographically approved
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Galkin, Nikolai
Yang, Chen-Wei
Etherden, Nicholas
Bollen, Math
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
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