Space Coverage Optimization

Space Coverage Optimization is a methodological framework within dispersion control that systematically maximizes the representativeness and spatial efficiency of sample or sensor placement across a target domain by optimizing coverage while minimizing redundancy and omission.

15

Publications

414

Citations

45

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

45

  1. JX
    Jinjun Xiong

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 92 citations

    3

    h-index

  2. HF
    Hanif Fatemi

    University of Southern California, United States

    3 publications · 92 citations

    3

    h-index

  3. VZ
    Vladimir Zolotov

    Motorola (United States), United States

    3 publications · 92 citations

    3

    h-index

  4. CV
    Chandu Visweswariah

    IBM (United States), United States

    3 publications · 92 citations

    3

    h-index

  5. GB
    Gabriele Beck

    Philips (Netherlands), Netherlands

    1 publications · 14 citations

    1

    h-index

1–5 of 45

Venues

  1. Magnetic Resonance in Medicine

    MRM · 1 publications · 14 citations

    1

    h-index

  2. International Conference on Computer Aided Design

    Conference · 1 publications · 26 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Dynamical and Control Systems

    1 publications · 28 citations

    1

    h-index

  5. IEEE Transactions on Vehicular Technology

    1 publications · 53 citations

    1

    h-index

1–5