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
Parents
10
1–5 of 10
40
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 40
13
China Agricultural University
Beijing, China
2 h-index
13 publications
437 citations
BioSense Institute
Novi Sad, Serbia
1 h-index
2 publications
70 citations
King's College London
London, United Kingdom
1 h-index
2 publications
20 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
1 h-index
1 publications
24 citations
Northwest A&F University
Yangling, China
1 h-index
5 publications
115 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
3 publications
285 citations

University of Novi Sad
Novi Sad, Serbia
1 h-index
5 publications
175 citations

Corvinus University of Budapest
Budapest, Hungary
1 h-index
1 publications
42 citations
1–8 of 13
5 publications · 168 citations
5
h-index
1 publications · 10 citations
1
h-index
Conference · 1 publications · 26 citations
1
h-index
1 publications · 95 citations
1
h-index
1 publications · 24 citations
1
h-index
1–5