Demo Data from SIGIR 2026 / reviewers in the wild / expert
D. G. Selvidge
dblp:186/3312
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › image analysis › visual inspection
automated visual inspection |
0.0 | 1 | 1986 | Automated visual inspection of aircraft engine combustor assemblies · ICRA 1986 |
Computational science and engineering › manufacturing automation › manufacturing
industrial inspection |
0.0 | 1 | 1986 | Automated visual inspection of aircraft engine combustor assemblies · ICRA 1986 |
Methods — techniques the papers use, named apart from their topics
digital image processing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Automated visual inspection of aircraft engine combustor assembliesabstractThis research is concerned with the feasibility of automated visual inspection of holes drilled in aircraft engine combustor assemblies. Using a digital image processor and necessary optics, combustor assemblies were examined, and scanned images were processed for analysis such as hole areas and diameters. The limitations of the automated visual inspection system including its accuracy and repeatability, were determined. Experimental results were compared with reference data for a non-coated combustor sample. The results indicate that these automated visual inspection methods produce reasonable results for the feasibility of their use in the inspection of aircraft engine combustor assemblies. A. L. Pai, K. L. Palmer, D. G. Selvidge |
ICRA | 4 |