Adaptive Sensor Weighting

Adaptive Sensor Weighting is a context-aware fusion method that dynamically assigns varying levels of influence to individual sensors based on their real-time reliability, environmental conditions, and task-specific relevance, thereby optimizing the integration of heterogeneous sensor data.

14

Publications

414

Citations

55

Authors

18

Institutions

Publications per year

2017–2026

9

Authors

55

  1. JY
    Jing Yuan

    Nankai University, China

    2 publications · 92 citations

    2

    h-index

  2. XZ
    Xuebo Zhang

    Nankai University, China

    2 publications · 92 citations

    2

    h-index

  3. NX
    Naixue Xiong

    Northeastern State University, United States

    1 publications · 21 citations

    1

    h-index

  4. XZ
    Xinghui Zhu

    Xidian University, China

    1 publications · 26 citations

    1

    h-index

  5. HC
    Haiwen Chen

    Tianjin University, China

    1 publications · 26 citations

    1

    h-index

1–5 of 55

Venues

  1. Industrial & Engineering Chemistry Research

    1 publications · 66 citations

    1

    h-index

  2. IET Communications

    1 publications · 21 citations

    1

    h-index

  3. Asia-Pacific Journal of Chemical Engineering

    APJ · 1 publications · 10 citations

    1

    h-index

  4. Journal of Electronic Imaging

    1 publications · 10 citations

    1

    h-index

  5. Journal of Chemometrics

    1 publications · 15 citations

    1

    h-index

1–5