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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 16, 2020 - Issue 12
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Articles

Improving the conversion accuracy between bridge element conditions and NBI ratings using deep convolutional neural networks

Graziano FiorilloDepartment of Civil Engineering, University of Manitoba, Winnipeg, Canada; Correspondence[email protected]
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Hani NassifDepartment of Civil and Environmental Engineering, Rutgers Infrastructure Monitoring and Evaluation (RIME) Group, Rutgers, The State University of New Jersey, Piscataway, NJ, USAView further author information
Pages 1669-1682 | Received 22 Apr 2019, Accepted 20 Dec 2019, Published online: 28 Feb 2020

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