AI-enabled cybersecurity framework for future 5G wireless infrastructures. [PDF]
Sci RepAlam A, Umer A, Ullah I, Alsayat A.
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Predictor-corrector models for lightweight massive machine-type communications in Industry 4.0
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On the Role of Artificial Intelligent Technology for Millimetre-Wave and Terahertz Applications. [PDF]
Sensors (Basel)Kouhalvandi L, Matekovits L.
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Multi-user wireless access techniques for massive Machine-Type Communications
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AI-Native PHY-Layer in 6G Orchestrated Spectrum-Aware Networks. [PDF]
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Heating the orphans: structural asymmetry and thermal energy resolve the delta receptor paradox. [PDF]
Commun BiolVinnakota R, Kumar J.
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Overload Control for Massive Machine Type Communications
World Congress on Electrical Engineering and Computer Systems and Science, 2016 openaire +1 more source
Machine learning driven clustering for silhouetting 5G network throughput. [PDF]
Sci RepRamesh P, Bhuvaneswari PTV.
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Intermediates of forming transition metal dichalcogenide heterostructures revealed by machine learning simulations. [PDF]
Nat CommunZhao L +6 more
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Signature-based Non-orthogonal Multiple Access (S-NOMA) for Massive Machine-Type Communications in 5G [PDF]
, 2018 Mostafa Mohammadkarimi +2 more
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