World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3737
World Ranking
13255
National Ranking
472

Electronics and Electrical Engineering

D-Index
32
Citations
3668
World Ranking
6399
National Ranking
292

Overview

Enzo Baccarelli is affiliated with Sapienza University of Rome in Italy. Their research primarily lies within the fields of Computer Science and Medicine, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging, and Electrical and Electronic Engineering.

The scientist has published extensively on topics such as COVID-19 diagnosis using AI, Anomaly Detection Techniques and Applications, IoT and Edge/Fog Computing, AI applications in cancer detection, Age of Information Optimization, Advanced Neural Network Applications, and Privacy-Preserving Technologies in Data.

Frequent coauthors of Enzo Baccarelli include Michele Scarpiniti, Alireza Momenzadeh, Sima Sarv Ahrabi, Lorenzo Piazzo, and Simone Scardapane.

Key recent publications by Enzo Baccarelli include:

  • Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms, 2021, IEEE Access
  • Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications, 2020, Information Sciences
  • AFAFed-Asynchronous Fair Adaptive Federated learning for IoT stream applications, 2022, Computer Communications

Other notable recent works in related fields by coauthors include:

  • A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection, 2021, Expert Systems with Applications
  • An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease, 2021, Computation

Among publication venues where Enzo Baccarelli has contributed frequently are Expert Systems with Applications, Applied Sciences, The Journal of Supercomputing, arXiv (Cornell University), and IEEE Access.

Best Publications

  • Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study

    Enzo Baccarelli;Paola G. Vinueza Naranjo;Michele Scarpiniti;Mohammad Shojafar

  • Energy-Efficient Adaptive Resource Management for Real-Time Vehicular Cloud Services

    Mohammad Shojafar;Nicola Cordeschi;Enzo Baccarelli

  • P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks

    Paola G. Naranjo;Mohammad Shojafar;Habib Mostafaei;Zahra Pooranian

  • Energy-efficient dynamic traffic offloading and reconfiguration of networked data centers for big data stream mobile computing: review, challenges, and a case study

    Enzo Baccarelli;Nicola Cordeschi;Alessandro Mei;Massimo Panella

  • Why should we add early exits to neural networks

    Simone Scardapane;Michele Scarpiniti;Enzo Baccarelli;Aurelio Uncini

  • Novel efficient bit-loading algorithms for peak-energy-limited ADSL-type multicarrier systems

    E. Baccarelli;A. Fasano;M. Biagi

  • Distributed and adaptive resource management in Cloud-assisted Cognitive Radio Vehicular Networks with hard reliability guarantees

    Nicola Cordeschi;Danilo Amendola;Mohammad Shojafar;Enzo Baccarelli

  • Energy-saving self-configuring networked data centers

    Nicola Cordeschi;Mohammad Shojafar;Enzo Baccarelli

  • Reliable Adaptive Resource Management for Cognitive Cloud Vehicular Networks

    Nicola Cordeschi;Danilo Amendola;Enzo Baccarelli

  • Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications

    Paola Gabriela Vinueza Naranjo;Enzo Baccarelli;Michele Scarpiniti

  • A novel approach to in-band interference mitigation in ultra wideband radio systems

    E. Baccarelli;M. Biagi;L. Taglione

  • Energy-saving adaptive computing and traffic engineering for real-time-service data centers

    Mohammad Shojafar;Nicola Cordeschi;Danilo Amendola;Enzo Baccarelli

  • Optimal integer bit-loading for multicarrier ADSL systems subject to spectral-compatibility limits

    Enzo Baccarelli;Mauro Biagi

  • Combined channel estimation and data detection using soft statistics for frequency-selective fast-fading digital links

    E. Baccarelli;R. Cusani

  • Optimal discrete bit loading for DMT based constrained multicarrier systems

    A. Fasano;G. Di Blasio;E. Baccarelli;M. Biagi

  • Some simple bounds on the symmetric capacity and outage probability for QAM wireless channels with Rice and Nakagami fadings

    E. Baccarelli;A. Fasano

  • FLAPS: bandwidth and delay-efficient distributed data searching in Fog-supported P2P content delivery networks

    Mohammad Shojafar;Mohammad Shojafar;Zahra Pooranian;Paola Gabriela Vinueza Naranjo;Enzo Baccarelli

  • Broadband Wireless Access Networks: A Roadmap on Emerging Trends and Standards

    Enzo Baccarelli;Mauro Biagi;Raffaele Bruno;Marco Conti

  • Evaluation of the reliable data rates supported by multiple-antenna coded wireless links for QAM transmissions

    E. Baccarelli

  • Bandwidth Management VMs Live Migration in Wireless Fog Computing for 5G Networks

    Danilo Amendola;Nicola Cordeschi;Enzo Baccarelli

  • EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications

    Enzo Baccarelli;Michele Scarpiniti;Alireza Momenzadeh

  • Recursive Kalman-type optimal estimation and detection of hidden Markov chains

    Enzo Baccarelli;Roberto Cusani

  • Stochastic traffic engineering for real-time applications over wireless networks

    Nicola Cordeschi;Tatiana Patriarca;Enzo Baccarelli

Frequent Co-Authors

Stefano Galli
Stefano Galli Peraton Labs
Mohammad Shojafar
Mohammad Shojafar University of Surrey
Aurelio Uncini
Aurelio Uncini Sapienza University of Rome
Maria Sabrina Sarto
Maria Sabrina Sarto Sapienza University of Rome
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Romano Fantacci
Romano Fantacci University of Florence
Enrico Gregori
Enrico Gregori National Research Council (CNR)
Ajith Abraham
Ajith Abraham Sai University
Marco Conti
Marco Conti National Research Council (CNR)

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