Seeding Error Detection

Seeding Error Detection is a methodological framework within automated seeding that identifies and characterizes deviations or inaccuracies in the initial placement or generation of seed elements, distinguishing itself by its focus on ensuring the fidelity and reliability of seeding processes in computational or experimental systems.

10

Publications

337

Citations

40

Authors

13

Institutions

Publications per year

2017–2026

4

Authors

40

  1. CX
    Chunji Xie

    China Agricultural University, China

    2 publications · 68 citations

    2

    h-index

  2. TC
    Tao Cui

    China Agricultural University, China

    2 publications · 68 citations

    2

    h-index

  3. YL
    Yang Li

    China Agricultural University, China

    2 publications · 68 citations

    2

    h-index

  4. AN
    Ali N. Saleemi

    Loughborough University, United Kingdom

    1 publications · 95 citations

    1

    h-index

  5. ZD
    Zhaohui Du

    Shanghai Jiao Tong University, China

    1 publications · 39 citations

    1

    h-index

1–5 of 40

Venues

  1. Computers and Electronics in Agriculture

    5 publications · 168 citations

    5

    h-index

  2. ACM SIGPLAN Notices

    1 publications · 10 citations

    1

    h-index

  3. International Conference on Software Engineering

    Conference · 1 publications · 26 citations

    1

    h-index

  4. CrystEngComm

    1 publications · 95 citations

    1

    h-index

  5. Radiotherapy and Oncology

    1 publications · 24 citations

    1

    h-index

1–5