Multisensor Regression

Multisensor Regression is a regression framework that fuses continuous or discrete data streams from multiple heterogeneous sensors into a unified predictive model to estimate a target variable, distinguished by its integration of cross-modal sensor inputs at an early stage for enhanced inference accuracy.

11

Publications

651

Citations

70

Authors

24

Institutions

Publications per year

2017–2026

3

Authors

70

  1. MS
    Marek Sikora

    Silesian University of Technology, Poland

    1 publications · 66 citations

    1

    h-index

  2. DŚ
    Dominik Ślȩzak

    University of Warsaw, Poland

    1 publications · 66 citations

    1

    h-index

  3. BY
    Binyu Yan

    Sichuan University, China

    1 publications · 12 citations

    1

    h-index

  4. BS
    Boris Seleznev

    St Petersburg University, Russia

    1 publications · 73 citations

    1

    h-index

  5. AY
    Atsushi Yamamoto

    Nippon Soda (Japan), Japan

    1 publications · 16 citations

    1

    h-index

1–5 of 70

Venues

  1. Information Sciences

    1 publications · 66 citations

    1

    h-index

  2. Sensors and Actuators B Chemical

    1 publications · 117 citations

    1

    h-index

  3. Journal of Hydrology

    1 publications · 164 citations

    1

    h-index

  4. Medical & Biological Engineering & Computing

    1 publications · 29 citations

    1

    h-index

  5. 1

    h-index

1–5