Showing 1 - 10 results of 10 for search 'Michele Scarpiniti', query time: 0.04s Refine Results
  1. 1
    EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

    EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications by Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

    Published 2019-01-01
    Get full text
    Article
  2. 2
    Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections

    Fog-Supported Delay-Constrained Energy-Saving Live Migration of VMs Over MultiPath TCP/IP 5G Connections by Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh

    Published 2018-01-01
    Get full text
    Article
  3. 3
    VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms

    VirtFogSim: A Parallel Toolbox for Dynamic Energy-Delay Performance Testing and Optimization of 5G Mobile-Fog-Cloud Virtualized Platforms by Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh

    Published 2019-03-01
    Get full text
    Article
  4. 4
    A Scalogram-Based CNN Approach for Audio Classification in Construction Sites

    A Scalogram-Based CNN Approach for Audio Classification in Construction Sites by Michele Scarpiniti, Raffaele Parisi, Yong-Cheol Lee

    Published 2023-12-01
    Get full text
    Article
  5. 5
    SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

    SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data by Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh, Aurelio Uncini

    Published 2019-10-01
    Get full text
    Article
  6. 6
    <i>DeepFogSim</i>: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms

    <i>DeepFogSim</i>: A Toolbox for Execution and Performance Evaluation of the Inference Phase of Conditional Deep Neural Networks with Early Exits Atop Distributed Fog Platforms by Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh, Sima Sarv Ahrabi

    Published 2021-01-01
    Get full text
    Article
  7. 7
    An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease

    An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease by Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli, Alireza Momenzadeh

    Published 2021-01-01
    Get full text
    Article
  8. 8
    Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms

    Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms by Enzo Baccarelli, Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi

    Published 2021-01-01
    Get full text
    Article
  9. 9
    A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

    A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images by Michele Scarpiniti, Sima Sarv Ahrabi, Enzo Baccarelli, Lorenzo Piazzo, Alireza Momenzadeh

    Published 2021-09-01
    Get full text
    Article
  10. 10
    Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

    Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study by Enzo Baccarelli, Paola G. Vinueza Naranjo, Michele Scarpiniti, Mohammad Shojafar, Jemal H. Abawajy

    Published 2017-01-01
    Get full text
    Article

Search Tools: