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Utilizing Deep Learning for Mobile Telecommunications Network Management.

, , и . IM, стр. 575-580. IFIP, (2019)

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Andreas Tamas

Christine Tamásy

M'Barek Tamasloukht

Olaf Tamaschke

Ónodi Tamás

 

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Utilizing Deep Learning for Mobile Telecommunications Network Management., , и . IM, стр. 575-580. IFIP, (2019)Detecting DDoS attacks within milliseconds by using FPGA-based hardware acceleration., , , , и . NOMS, стр. 1-4. IEEE, (2018)C-GEP: 100 Gbit/s capable, FPGA-based, reconfigurable networking equipment., , , и . HPSR, стр. 76-81. IEEE, (2015)ML-Based Translation Methods for Protocols and Data Formats., , , и . CNSM, стр. 1-5. IEEE, (2023)Real-time security services for SDN-based datacenters., , , , , , , , , и . CNSM, стр. 1-9. IEEE Computer Society, (2017)FPGA-Assisted DPI Systems: 100 Gbit/s and Beyond., , и . IEEE Commun. Surv. Tutorials, 21 (2): 2015-2040 (2019)Supporting Operational Management of IP-based Voice Services. Budapest University of Technology and Economics, Hungary, (2021)100 Gbit/s network monitoring with on-the-fly reconfigurable rules for multi-encapsulated packets., , , и . HPSR, стр. 134-137. IEEE, (2015)Complex solution for VoLTE monitoring and cross-protocol data analysis., , , и . NOMS, стр. 1-4. IEEE, (2018)Assembling VoLTE CDRs based on network monitoring - challenges with fragmented information., , и . IM, стр. 979-982. IEEE, (2017)