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Editorial: Machine learning for resource management in industrial Internet of Things
Musaddiq, Arslan
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
ORCID iD:
0000-0003-3768-7320
Azam, Irfan
Polytechnique Montréal, Canada.
Olsson, Tobias
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
ORCID iD:
0000-0003-1154-5308
Ahlgren, Fredrik
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
ORCID iD:
0000-0003-0372-7195
2025 (English)
In:
Frontiers in Computer Science, E-ISSN 2624-9898, Vol. 7, article id 1566353
Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Frontiers Media S.A., 2025. Vol. 7, article id 1566353
Keywords [en]
Internet of Things, resource management, machine learning, IoT applications, industrial IoT
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN:
urn:nbn:se:lnu:diva-137285
DOI:
10.3389/fcomp.2025.1566353
ISI:
001441178000001
Scopus ID:
2-s2.0-86000666983
OAI: oai:DiVA.org:lnu-137285
DiVA, id:
diva2:1946315
Available from:
2025-03-20
Created:
2025-03-20
Last updated:
2025-04-07
Bibliographically approved
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17 downloads
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Musaddiq, Arslan
Olsson, Tobias
Ahlgren, Fredrik
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ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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