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Fingerprint Dive into the research topics where Pingbo Tang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles
Lasers Engineering & Materials Science
Scour Engineering & Materials Science
Outages Engineering & Materials Science
Scanning Engineering & Materials Science
Planning Engineering & Materials Science
Monitoring Engineering & Materials Science
Inspection Engineering & Materials Science
Productivity Engineering & Materials Science

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Research Output 2007 2019

1 Citation (Scopus)

Applying crowdsourcing techniques in urban planning: A bibliometric analysis of research and practice prospects

Liao, P., Wan, Y., Tang, P., Wu, C., Hu, Y. & Zhang, S., Nov 1 2019, In : Cities. 94, p. 33-43 11 p.

Research output: Contribution to journalArticle

urban planning
semantics
decision making
planning method
planning methods
2 Citations (Scopus)

Bridge scour identification and field application based on ambient vibration measurements of superstructures

Xiong, W., Cai, C. S., Kong, B., Zhang, X. & Tang, P., May 1 2019, In : Journal of Marine Science and Engineering. 7, 5, 121.

Research output: Contribution to journalArticle

Open Access
Vibration measurement
Scour
scour
vibration
Natural frequencies
3 Citations (Scopus)

Comparative analysis of machine learning and point-based algorithms for detecting 3D changes in buildings over time using bi-temporal lidar data

Shirowzhan, S., Sepasgozar, S. M. E., Li, H., Trinder, J. & Tang, P., Sep 1 2019, In : Automation in Construction. 105, 102841.

Research output: Contribution to journalArticle

Learning systems
Support vector machines
Pixels
Disasters
Maximum likelihood

Crowdsourced reliable labeling of safety-rule violations on images of complex construction scenes for advanced vision-based workplace safety

Wang, Y., Liao, P. C., Zhang, C., Ren, Y., Sun, X. & Tang, P., Oct 2019, In : Advanced Engineering Informatics. 42, 101001.

Research output: Contribution to journalArticle

Labeling
Labels
Computer vision
Hazards
Bayesian networks

Knowledge-based registration for reliable correlated change detection on high-pier curved continuous rigid frame bridge

Sun, Z., Shi, Y., Xiong, W. & Tang, P., Jan 1 2019, In : CEUR Workshop Proceedings. 2394

Research output: Contribution to journalConference article

Bridge piers

Projects 2013 2022