Adaptive Quality Management

Adaptive Quality Management is a computational framework that dynamically adjusts rendering fidelity, latency, and resource allocation in augmented reality systems based on real-time performance metrics and environmental conditions to maintain optimal user experience.

7

Publications

175

Citations

24

Authors

8

Institutions

Publications per year

2017–2026

5

Authors

24

  1. MH
    Majed Haddad

    Université d'Avignon et des Pays de Vaucluse, France

    1 publications · 10 citations

    1

    h-index

  2. LC
    Ling Chen

    University of Technology Sydney, Australia

    1 publications · 35 citations

    1

    h-index

  3. RE
    Rachid El-Azouzi

    Université d'Avignon et des Pays de Vaucluse, France

    1 publications · 10 citations

    1

    h-index

  4. OA
    Omar Alonso

    Microsoft (United States), United States

    1 publications · 31 citations

    1

    h-index

  5. TV
    Tim Verbelen

    Ghent University, Belgium

    1 publications · 42 citations

    1

    h-index

1–5 of 24

Venues

  1. Journal of Systems and Software

    JSS · 1 publications · 42 citations

    1

    h-index

  2. Business & Information Systems Engineering

    BISE · 1 publications · 15 citations

    1

    h-index

  3. Applied Mathematical Modelling

    1 publications · 16 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 31 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 35 citations

    1

    h-index

1–5