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Salvatore Distefano

Salvatore Distefano

D-Index & Metrics

Computer Science

D-Index
36
Citations
4992
World Ranking
11328
National Ranking
369

Overview

Salvatore Distefano is affiliated with the University of Messina in Italy. Their research spans multiple disciplines primarily within Computer Science and Engineering.

The main fields of study for this researcher include:

  • Computer Science
  • Engineering

Within these broader fields, their work focuses on several subfields such as:

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Atmospheric Science
  • Artificial Intelligence

Distefano's research topics prominently cover areas related to remote sensing and imaging technologies. Key topics include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • IoT and Edge/Fog Computing
  • Advanced Image Fusion Techniques
  • Spectroscopy and Chemometric Analyses

They are frequently published in various academic venues. Significant venues where Distefano has contributed include:

  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • Neurocomputing
  • Optik

Notable recent papers by Salvatore Distefano feature advancements in hyperspectral image classification and remote sensing techniques. Examples of these publications are:

  • "Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects" (2021), published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "A Fast and Compact 3-D CNN for Hyperspectral Image Classification" (2020), published in IEEE Geoscience and Remote Sensing Letters
  • "Hyperspectral Imaging for Bloodstain Identification" (2021), published in Sensors
  • "Spatial-prior generalized fuzziness extreme learning machine autoencoder-based active learning for hyperspectral image classification" (2020), published in Optik
  • "Artifacts of different dimension reduction methods on hybrid CNN feature hierarchy for Hyperspectral Image Classification" (2021), published in Optik

Their collaborative research involves frequent coauthors such as Manuel Mazzara, Muhammad Ahmad, Adil Khan, Muhammad Usama, and another researcher also named Muhammad Ahmad, indicating strong collaborative networks in their research fields.

Best Publications

  • Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects

    Unknown

  • A Fast and Compact 3-D CNN for Hyperspectral Image Classification

    Muhammad Ahmad;Adil Mehmood Khan;Manuel Mazzara;Salvatore Distefano

  • Volunteer Computing and Desktop Cloud: The Cloud@Home Paradigm

    Vincenzo D. Cunsolo;Salvatore Distefano;Antonio Puliafito;Marco Scarpa

  • Dependability Evaluation with Dynamic Reliability Block Diagrams and Dynamic Fault Trees

    S. Distefano;A. Puliafito

  • Hierarchical data fusion for Smart Healthcare

    Rustem Dautov;Salvatore Distefano;Salvatore Distefano;Rajkumaar Buyya

  • Workload-Based Software Rejuvenation in Cloud Systems

    Dario Bruneo;Salvatore Distefano;Francesco Longo;Antonio Puliafito

  • Enabling the Cloud of Things

    Salvatore Distefano;Giovanni Merlino;Antonio Puliafito

  • Sensing and Actuation as a Service: A New Development for Clouds

    Salvatore Distefano;Giovanni Merlino;Antonio Puliafito

  • An SLA-based Broker for Cloud Infrastructures

    Antonio Cuomo;Giuseppe Modica;Salvatore Distefano;Antonio Puliafito

  • A new approach to modeling the system reliability: dynamic reliability block diagrams

    S. Distefano;Liudong Xing

  • Mobile crowdsensing as a service

    Giovanni Merlino;Stamatis Arkoulis;Salvatore Distefano;Chrysa Papagianni

  • An IoT service ecosystem for Smart Cities: The #SmartME project

    Dario Bruneo;Salvatore Distefano;Salvatore Distefano;Maurizio Giacobbe;Antonino Longo Minnolo

  • A utility paradigm for IoT

    Salvatore Distefano;Giovanni Merlino;Antonio Puliafito

  • From UML to Petri Nets: The PCM-Based Methodology

    S Distefano;M Scarpa;A Puliafito

  • Stack4Things: a sensing-and-actuation-as-a-service framework for IoT and cloud integration

    Francesco Longo;Dario Bruneo;Salvatore Distefano;Salvatore Distefano;Giovanni Merlino

  • Dynamic Reliability Block Diagrams VS Dynamic Fault Trees

    S. Distefano;A. Puliafito

  • Reliability and availability analysis of dependent–dynamic systems with DRBDs

    Salvatore Distefano;Antonio Puliafito

  • Cloud@Home: bridging the gap between volunteer and cloud computing

    Vincenzo D. Cunsolo;Salvatore Distefano;Antonio Puliafito;Marco Scarpa

  • Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images

    Muhammad Ahmad;Asad Khan;Adil Mehmood Khan;Manuel Mazzara

  • Stack4Things: Integrating IoT with OpenStack in a Smart City context

    Giovanni Merlino;Dario Bruneo;Salvatore Distefano;Francesco Longo

  • Investigating dynamic reliability and availability through state-space models

    Salvatore Distefano;Francesco Longo;Kishor S. Trivedi

Frequent Co-Authors

Antonio Puliafito
Antonio Puliafito University of Messina
Francesco Longo
Francesco Longo University of Messina
Kishor S. Trivedi
Kishor S. Trivedi Duke University
Andrea Bobbio
Andrea Bobbio University of Eastern Piedmont Amadeo Avogadro
Maria Fazio
Maria Fazio University of Messina
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University
Carlo Ghezzi
Carlo Ghezzi Polytechnic University of Milan
Raffaela Mirandola
Raffaela Mirandola Polytechnic University of Milan
Asad U. Khan
Asad U. Khan Aligarh Muslim University
Symeon Papavassiliou
Symeon Papavassiliou National Technical University of Athens

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