Multisensor Classification

Multisensor Classification is a classification methodology that integrates data from multiple sensor modalities at an early stage to enhance decision accuracy by leveraging complementary information inherently present across heterogeneous sensory inputs.

122

Publications

6.7K

Citations

393

Authors

196

Institutions

Publications per year

2017–2026

27

Authors

393

  1. JW
    Julian W. Gardner

    University of Warwick, United Kingdom

    6 publications · 803 citations

    6

    h-index

  2. NM
    Nasser M. Nasrabadi

    DEVCOM Army Research Laboratory, United States

    5 publications · 193 citations

    5

    h-index

  3. EL
    Evor L. Hines

    University of Warwick, United Kingdom

    4 publications · 405 citations

    4

    h-index

  4. JA
    Jón Atli Benediktsson

    University of Iceland, Iceland

    4 publications · 217 citations

    4

    h-index

  5. PH
    P. H. Swain

    Purdue University West Lafayette, United States

    3 publications · 200 citations

    3

    h-index

1–5 of 393

Venues

  1. 12

    h-index

  2. Sensors and Actuators B Chemical

    8 publications · 750 citations

    8

    h-index

  3. 6

    h-index

  4. IEEE Sensors Journal

    5 publications · 286 citations

    5

    h-index

  5. Sensors

    4 publications · 95 citations

    4

    h-index

1–5