Concepedia

Feature-based Flow Compression

Feature-Based Flow Compression is a computational method that selectively reduces flow data volume by retaining and encoding only salient flow features, distinguishing itself from general compression techniques through its reliance on identified physical or structural characteristics of the flow as the basis for data reduction.

1

Publications

117

Citations

6

Authors

3

Institutions

Publications per year

2017–2026

1

Parents

Publications

1

1–2 of 1

Authors

6

  1. RL
    Runze Li

    Tsinghua University, China

    1 publications · 117 citations

    1

    h-index

  2. HC
    Haixin Chen

    Tsinghua University, China

    1 publications · 117 citations

    1

    h-index

  3. CH
    Cheng He

    Southern University of Science and Technology, China

    1 publications · 117 citations

    1

    h-index

  4. CZ
    Chen Zhai

    Southern University of Science and Technology, China

    1 publications · 117 citations

    1

    h-index

  5. JW
    Jing Wang

    Commercial Aircraft Corporation of China (China), China

    1 publications · 117 citations

    1

    h-index

1–5 of 6

Institutions

3

  1. Southern University of Science and Technology

    Shenzhen, China

    1 h-index

    1 publications

    117 citations

  2. Commercial Aircraft Corporation of China (China)

    Shanghai, China

    1 h-index

    3 publications

    351 citations

  3. Tsinghua University

    Beijing, China

    1 h-index

    2 publications

    234 citations

  4. Ministry of Water Resources of the People's Republic of China

    Beijing, China

    1 publications

    15 citations

  5. PLA Army Engineering University

    Nanjing, China

    1 publications

    15 citations

  6. Hohai University

    Nanjing, China

    1 publications

    15 citations

1–6 of 3

Venues

  1. Physics of Fluids

    1 publications · 117 citations

    1

    h-index

  2. Expert Systems with Applications

    1 publications · 15 citations

1–2