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Marco Invernici

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

41

TOTAL CITATIONS

2

Scholarly Papers (1)

1.

Automated Masonry Spalling Severity Segmentation in Historic Railway Tunnels Using Deep Learning and a Block Face Plane Fitting Approach

Number of pages: 32 Posted: 20 Dec 2023
University of Leeds, University of Leeds, University of Leeds - School of Computing, University of Leeds, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 41 (1,183,237)
Citation 2

Abstract:

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Masonry, Condition Assessment, Deep learning, Semantic segmentation, Historic tunnels