GIS-Based Information System for Automated Building Façade Assessment Based on Unmanned Aerial Vehicles and Artificial Intelligence
Publication type: Journal Article
Publication date: 2023-12-01
scimago Q1
wos Q3
SJR: 0.430
CiteScore: 3.4
Impact factor: 1.5
ISSN: 10760431, 19435568
Building and Construction
Civil and Structural Engineering
Architecture
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Metrics
7
Total citations:
7
Citations from 2024:
7
(100%)
The most citing journal
Citations in journal:
1
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BibTex
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GOST
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Akanmu A. et al. GIS-Based Information System for Automated Building Façade Assessment Based on Unmanned Aerial Vehicles and Artificial Intelligence // Journal of Architectural Engineering. 2023. Vol. 29. No. 4.
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Akanmu A., Reichard G., Xu X., Akanmu A. GIS-Based Information System for Automated Building Façade Assessment Based on Unmanned Aerial Vehicles and Artificial Intelligence // Journal of Architectural Engineering. 2023. Vol. 29. No. 4.
Cite this
RIS
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TY - JOUR
DO - 10.1061/jaeied.aeeng-1635
UR - https://doi.org/10.1061/jaeied.aeeng-1635
TI - GIS-Based Information System for Automated Building Façade Assessment Based on Unmanned Aerial Vehicles and Artificial Intelligence
T2 - Journal of Architectural Engineering
AU - Akanmu, Abiola
AU - Reichard, Georg
AU - Xu, Xin
AU - Akanmu, Abiola
PY - 2023
DA - 2023/12/01
PB - American Society of Civil Engineers (ASCE)
IS - 4
VL - 29
SN - 1076-0431
SN - 1943-5568
ER -
Cite this
BibTex (up to 50 authors)
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@article{2023_Akanmu,
author = {Abiola Akanmu and Georg Reichard and Xin Xu and Abiola Akanmu},
title = {GIS-Based Information System for Automated Building Façade Assessment Based on Unmanned Aerial Vehicles and Artificial Intelligence},
journal = {Journal of Architectural Engineering},
year = {2023},
volume = {29},
publisher = {American Society of Civil Engineers (ASCE)},
month = {dec},
url = {https://doi.org/10.1061/jaeied.aeeng-1635},
number = {4},
doi = {10.1061/jaeied.aeeng-1635}
}