Input Calibration

Input Calibration is a methodological framework within input virtualization that systematically adjusts and aligns raw sensory or simulated input data to match expected computational models or reference standards through algorithmic transformation and error minimization.

18

Publications

871

Citations

80

Authors

34

Institutions

Publications per year

2017–2026

6

Authors

80

  1. PK
    Pavel Kudinov

    KTH Royal Institute of Technology, Sweden

    2 publications · 38 citations

    2

    h-index

  2. DG
    Dmitry Grishchenko

    KTH Royal Institute of Technology, Sweden

    2 publications · 38 citations

    2

    h-index

  3. KJ
    Kenny J. Glotfelty

    Smithsonian Astrophysical Observatory, United States

    1 publications · 22 citations

    1

    h-index

  4. AW
    A.H. Wapstra

    National Institute for Subatomic Physics, Netherlands

    1 publications · 18 citations

    1

    h-index

  5. WF
    Wenxin Feng

    Universidade de São Paulo, Brazil

    1 publications · 17 citations

    1

    h-index

1–5 of 80

Venues

  1. Nuclear Engineering and Design

    1 publications · 25 citations

    1

    h-index

  2. Computer-Aided Design

    1 publications · 76 citations

    1

    h-index

  3. Journal of Hydrology

    1 publications · 75 citations

    1

    h-index

  4. 1

    h-index

  5. Atomic Data and Nuclear Data Tables

    1 publications · 18 citations

    1

    h-index

1–5