Concepedia

Channel Perception

Channel Perception is a computational framework within the domain of node encoding that characterizes how information propagates through edges in a graph by modeling the heterogeneity and capacity of transmission pathways between nodes.

1

Publications

133

Citations

2

Authors

1

Institutions

Publications per year

2017–2026

0

Parents

Publications

1

1–3 of 1

Authors

2

  1. CC
    Chester C. Watson

    Colorado State University, United States

    1 publications · 133 citations

    1

    h-index

  2. BP
    Brian P. Bledsoe

    Colorado State University, United States

    1 publications · 133 citations

    1

    h-index

  3. MI
    Marco Ieva

    University of Parma, Italy

    1 publications · 16 citations

    0

    h-index

  4. GS
    Giada Salvietti

    University of Parma, Italy

    1 publications · 16 citations

    0

    h-index

  5. CZ
    Cristina Ziliani

    University of Parma, Italy

    1 publications · 16 citations

    0

    h-index

1–5 of 2

Institutions

1

  1. Colorado State University

    Fort Collins, United States

    1 h-index

    2 publications

    266 citations

  2. University of Parma

    Parma, Italy

    1 publications

    16 citations

  3. Beijing University of Posts and Telecommunications

    Beijing, China

    1 publications

    10 citations

1–3 of 1

Venues

  1. Geomorphology

    1 publications · 133 citations

    1

    h-index

  2. Journal of Product & Brand Management

    1 publications · 16 citations

  3. Journal of Lightwave Technology

    1 publications · 10 citations

1–3