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Applying machine learning for electronic warfare activity detection at a national scale

author
Juul, Johan Mattias
Venables, Adrian Nicholas
Roberts, Andrew James
Ottis, Rain
Hamad, Mohammad
statement of authorship
Johan Mattias Juul, Andrew James Roberts, Mohammad Hamad, Adrian Venables, Rain Ottis
source
MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM).
publisher
IEEE
year of publication
2025
pages
p. 1-6
url
https://ieeexplore.ieee.org/document/11309949
https://doi.org/10.1109/MILCOM64451.2025.11309949
subject term
tehisõpe
GPS
elektrooniline sõda
andurid
droonid
Scopus
Conference proceedings at Scopus
Article at Scopus
WOS
Article at WOS
category (general)
Engineering
category (sub)
Engineering. Electrical and electronic engineering
keyword
electronic warfare activity detection
GPS jamming
machine learning
ISSN
2155-7578
ISBN
979-833150292-8
notes
Bibliogr.: 13 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tarkvarateaduse instituut
language
inglise
Juul, J.M., James Roberts, A., Hamad, M., Venables, A., Ottis, R. Applying machine learning for electronic warfare activity detection at a national scale // MILCOM 2025 - 2025 IEEE Military Communications Conference (MILCOM).. : IEEE, 2025. p. 1-6. https://ieeexplore.ieee.org/document/11309949 https://doi.org/10.1109/MILCOM64451.2025.11309949