Publikationen, an denen er mitarbeitet Antonio Fernando Skarmeta Gomez (39)

2024

  1. Embedded intelligence in Internet of Things scenarios: TinyML meets eBPF

    TinyML for Edge Intelligence in IoT and LPWAN Networks (Elsevier), pp. 377-401

  2. Fast traffic processing in multi-tenant 5G environments: A comparative performance evaluation of P4 and eBPF technologies

    Engineering Science and Technology, an International Journal, Vol. 52

  3. Integrating Machine Learning Models into the Linux Kernel: Opportunities and Challenges

    Communications in Computer and Information Science

  4. Machine learning-powered traffic processing in commodity hardware with eBPF

    Computer Networks, Vol. 243

  5. eBPF and XDP Technologies as Enablers for Ultra-Fast and Programmable Next-Gen Network Infrastructures

    Studies in Big Data (Springer Science and Business Media Deutschland GmbH), pp. 269-283

2023

  1. Intelligent and Efficient IoT Through the Cooperation of TinyML and Edge Computing

    Informatica (Slovenia), Vol. 34, Núm. 1, pp. 147-168

  2. Virtual On-Board Unit Migration in a Multi-Access Smart-Campus 5G Architecture

    Proceedings - 2023 IEEE Future Networks World Forum: Future Networks: Imagining the Network of the Future, FNWF 2023

2022

  1. From network functions to netapps: The 5gasp methodology

    Computers, Materials and Continua, Vol. 71, Núm. 2, pp. 4115-4134

  2. GAIA 5G: A Multi-access Smart-Campus Architecture

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Machine learning-based zero-touch network and service management: a survey

    Digital Communications and Networks, Vol. 8, Núm. 2, pp. 105-123

  4. Securing the Hyperconnected Healthcare Ecosystem

    Lecture Notes on Data Engineering and Communications Technologies (Springer Science and Business Media Deutschland GmbH), pp. 455-471

  5. Tinyml-based fall detection for connected personal mobility vehicles

    Computers, Materials and Continua, Vol. 71, Núm. 2, pp. 3869-3885

  6. Who is wearing me? TinyDL-based user recognition in constrained personal devices

    IET Computers and Digital Techniques, Vol. 16, Núm. 1, pp. 1-9