Towards explainability for AI-based edge wireless signal automatic modulation classification
Towards explainability for AI-based edge wireless signal automatic modulation classification
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
With the development of artificial intelligence technology and edge computing technology, deep learning-based automatic modulation classification (AI-based AMC) deployed at edge devices using centralised or distributed learning methods for optimisation has emerged in recent years, and has made great progress in the recognition accuracy and recognis...
Alternative Titles
Full title
Towards explainability for AI-based edge wireless signal automatic modulation classification
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7943326ad4ec4ea8a599f8bece2a2a24
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7943326ad4ec4ea8a599f8bece2a2a24
Other Identifiers
ISSN
2192-113X
E-ISSN
2192-113X
DOI
10.1186/s13677-024-00590-3
