Advanced Anomaly Detection in 5G mmWave Networks Using Deep Learning and Machine Learning 2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis

Place, publisher, year, edition, pages

2025. , p. 49

Keywords [en]

5G, mmWave Networks, Deep Learning, Machine learning, LSTM, CNN-LSTM

National Category

Engineering and Technology Science and Technology Studies

Identifiers

URN: urn:nbn:se:ltu:diva-111942OAI: oai:DiVA.org:ltu-111942DiVA, id: diva2:1943461

External cooperation

Tietoevry

Subject / course

Student thesis, at least 30 credits

Educational program

Master Programme in Green Networking and Cloud Computing

Presentation

2024-06-19, Universidad Politécnica de Madrid, Madrid, 14:30 (English)

Supervisors

Examiners

Available from: 2025-03-17 Created: 2025-03-10 Last updated: 2025-10-21Bibliographically approved

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Department of Computer Science, Electrical and Space Engineering

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Engineering and TechnologyScience and Technology Studies

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