Roof Anomaly Detection is a computational method within the domain of building condition assessment that identifies deviations from normal roof conditions in observational data by analyzing patterns indicative of damage, deterioration, or structural irregularities.
6
Publications
136
Citations
13
Authors
9
Institutions
Publications per year
2017–2026
2
Parents
Publications
6
1–5 of 6
Authors
13
- AC
2
h-index
- IF
2
h-index
- BP
2
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- JD
2
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- JM
2
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1–5 of 13
Institutions
9
Portuguese Military Academy
Lisbon, Portugal
2 h-index
4 publications
116 citations
China University of Mining and Technology
Xuzhou, China
1 h-index
3 publications
42 citations
AGH University of Krakow
Krakow, Poland
1 h-index
1 publications
12 citations
Portuguese Army
Lisbon, Portugal
1 h-index
2 publications
46 citations
Woodward (United States)
Fort Collins, United States
1 h-index
1 publications
25 citations
Mississippi State University
Starkville, United States
1 h-index
2 publications
54 citations
United States Department of the Interior
Washington, United States
1 h-index
1 publications
27 citations
Lisbon School of Design
Lisbon, Portugal
1 h-index
1 publications
23 citations
1–8 of 9
Venues
- Journal of Performance of Constructed Facilities
2 publications · 58 citations
2
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- ISPRS Journal of Photogrammetry and Remote Sensing
1 publications · 12 citations
1
h-index
- Arabian Journal of Geosciences
1 publications · 14 citations
1
h-index
- International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts
1 publications · 25 citations
1
h-index
- Engineering Applications of Artificial Intelligence
1 publications · 27 citations
1
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1–5