Context-aware Analytics

Context-Aware Analytics is an analytical framework that, as a subclass of edge analytics, integrates real-time environmental, spatial, temporal, and user-specific contextual data to dynamically adapt data processing, inference, and decision-making at the network edge.

27

Publications

1.4K

Citations

99

Authors

47

Institutions

Publications per year

2017–2026

21

Authors

99

  1. ML
    Markus Leippold

    University of Zurich, Switzerland

    2 publications · 89 citations

    2

    h-index

  2. SD
    Subrata Das

    Charles River Analytics (United States), United States

    1 publications · 129 citations

    1

    h-index

  3. JJ
    Juan J. Hierro

    Universidad Politécnica de Madrid, Spain

    1 publications · 21 citations

    1

    h-index

  4. JL
    Juanzi Li

    Tsinghua University, China

    1 publications · 57 citations

    1

    h-index

  5. RK
    Rishee K. Jain

    Stanford University, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 99

Venues

  1. IEEE Access

    2 publications · 87 citations

    2

    h-index

  2. Finance research letters

    1 publications · 74 citations

    1

    h-index

  3. 1

    h-index

  4. Procedia Computer Science

    1 publications · 49 citations

    1

    h-index

  5. Computerized Medical Imaging and Graphics

    CMIG · 1 publications · 35 citations

    1

    h-index

1–5