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Carla Fabiana Chiasserini

17 та иш

Polytechnic University of Turin

  1. A Realistic Mobility Simulator for Vehicular Ad Hoc Networks

    Jérôme Härri, Marco Fiore, Fethi Filali +3

    МақолаVehicular Ad Hoc Networks (VANETs)20050 иқтибос
    ABI

  2. 5G Traffic Forecasting: If Verticals and Mobile Operators Cooperate

    Francesco Malandrino, Carla Fabiana Chiasserini

    ПрепринтMobile Crowdsensing and Crowdsourcing20190 иқтибос
    ABI

  3. Towards Failure Resiliency in 5G: Service Shifting

    Francesco Malandrino, Carla Fabiana Chiasserini, Giada Landi

    ПрепринтSoftware-Defined Networks and 5GarXiv (Cornell University)20190 иқтибос
    ABI

  4. D4.1 Open Labs design and integration and validation methodology

    Bernhard Kloiber, Neda Petreska, Juan Brenes +17

    МақолаRobotics and Automated SystemsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  5. D4.1 Open Labs design and integration and validation methodology

    Bernhard Kloiber, Neda Petreska, Juan Brenes +20

    МақолаRobotics and Automated SystemsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  6. D4.1 Open Labs design and integration and validation methodology

    Bernhard Kloiber, Neda Petreska, Juan Brenes +17

    МақолаRobotics and Automated SystemsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  7. D2.1 MultiX Perceptive 6G-RAN system design v1 – focus on initial DASH Design

    Sebastian Robitzsch, Laksh Bhatia, Mohammad Heggo +19

    МақолаAdvanced Wireless Communication TechnologiesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  8. D2.1 MultiX Perceptive 6G-RAN system design v1 – focus on initial DASH Design

    Sebastian Robitzsch, Laksh Bhatia, Mohammad Heggo +19

    МақолаAdvanced Wireless Communication TechnologiesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  9. D3.1 - MultiX perception system enablers v1: Focus on perception enablers design including AI and multi-technology, multi-static perception

    Jacopo Pegoraro, Zhuangzhuang Cui, Jesus Omar Lacruz +12

    МақолаIndoor and Outdoor Localization TechnologiesOpen MIND20260 иқтибос
    ABI

  10. D3.1 - MultiX perception system enablers v1: Focus on perception enablers design including AI and multi-technology, multi-static perception

    Jacopo Pegoraro, Zhuangzhuang Cui, Jesus Omar Lacruz +12

    МақолаIndoor and Outdoor Localization TechnologiesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  11. TIDE: Task-driven DNN Training and Splitting for Efficient Inference at the Mobile Edge

    Carla Fabiana Chiasserini, Gustavo de Veciana, Francesco Malandrino

    МақолаAdvanced Neural Network ApplicationsOpen MIND20260 иқтибос
    ABI

  12. TIDE: Task-driven DNN Training and Splitting for Efficient Inference at the Mobile Edge

    Carla Fabiana Chiasserini, Gustavo de Veciana, Francesco Malandrino

    МақолаAdvanced Neural Network ApplicationsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  13. D4.1 Open Labs design and integration and validation methodology

    Bernhard Kloiber, Neda Petreska, Juan Brenes +20

    МақолаRobotics and Automated SystemsZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  14. SPIFF: Selective Preservation of Image Fidelity for Bandwidth-constrained Heterogeneous Networks

    Marco Palena, Jose Ayala-Romero, Andres Garcia-Saavedra +1

    МақолаAdvanced Data Compression TechniquesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  15. OMNIS: Semantic RAN Slicing via Dynamic Split Neural Networks

    Langtian Qin, Ian Andrew Harshbarger, Leïla Nasraoui +2

    МақолаDomain Adaptation and Few-Shot LearningZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  16. SPIFF: Selective Preservation of Image Fidelity for Bandwidth-constrained Heterogeneous Networks

    Marco Palena, Jose Ayala-Romero, Andres Garcia-Saavedra +1

    МақолаAdvanced Data Compression TechniquesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  17. OMNIS: Semantic RAN Slicing via Dynamic Split Neural Networks

    Langtian Qin, Ian Andrew Harshbarger, Leïla Nasraoui +2

    МақолаDomain Adaptation and Few-Shot LearningZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI