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Shengwang Hao

Biographic Data

ID6632076
NAMEShengwang Hao
GIVEN NAMESShengwang
FAMILY NAMEHao
SIGNATUREHAO S
AFFILIATIONSSchool of Civil Engineering & Mechanics Yanshan University Qinhuangdao China
ORCID0000-0002-0376-4271
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Application of Object Detection Algorithm for Efficient Damages Identification of the Conservation of Heritage Buildings

    Open Access•H L Tang, Huadu Tang et al.•ARTICLE•Archaeological Prospection•2024

    Heritage buildings are crucial for any area's cultural and political aspects. Proper maintenance and monitoring are essential for the conservation of these buildings. However, manual inspections are time‐consuming and expensive. We propose a deep learning–based detection framework to identify the damages on the ancient architectural wall. The algorithm applied in this study is YOLOv5. Comparing its five different versions, it was decided to use Y…

No prominent works on this page.

  • Application of Object Detection Algorithm for Efficient Damages Identification of the Conservation of Heritage Buildings

    Open Access•H L Tang, Huadu Tang et al.•ARTICLE•Archaeological Prospection•2024

    Heritage buildings are crucial for any area's cultural and political aspects. Proper maintenance and monitoring are essential for the conservation of these buildings. However, manual inspections are time‐consuming and expensive. We propose a deep learning–based detection framework to identify the damages on the ancient architectural wall. The algorithm applied in this study is YOLOv5. Comparing its five different versions, it was decided to use Y…

3D Surveying and Cultural Heritage (1 work) · Algorithm (1 work) · Archaeology (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Conservation Techniques and Studies (1 work) · Cultural heritage (1 work) · Damages (1 work) · Geography (1 work) · Identification (biology (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae