Signal Classification for Cross-Technology Interference Detection
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URL
Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Master's thesis
Authors
Date
2020-08-18
Department
Major/Subject
Security and Cloud Computing
Mcode
SCI3084
Degree programme
Master’s Programme in Computer, Communication and Information Sciences
Language
en
Pages
71
Series
Description
Supervisor
Di Francesco, MarioThesis advisor
Toro Betancur, VerónicaKeywords
wireless networks, network security, machine learning, cross-technology interference