Numerical Models for Submerged Breakwaters 2016
DOI: 10.1016/b978-0-12-802413-3.00005-5
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Mathematical Modeling and Algorithm Development

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Cited by 2 publications
(6 citation statements)
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“…Our SSM‐based first variation mode confirms uniform scapula scaling observed in prior studies 11,18,22,36 . However, the second and third modes showed variabilities that appear to be specifically associated with B glenoid pathologies.…”
Section: Discussionsupporting
confidence: 85%
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“…Our SSM‐based first variation mode confirms uniform scapula scaling observed in prior studies 11,18,22,36 . However, the second and third modes showed variabilities that appear to be specifically associated with B glenoid pathologies.…”
Section: Discussionsupporting
confidence: 85%
“…To achieve the first goal, significant modes of variability were found for the SSM and SDM, representing 86% and 57% of their corresponding variability, respectively. The relatively high compactness of the SSM as well as the lower compactness of the SDMs are in agreement with the previous literature 11,18,36 . We evaluated the accuracy of the SSM and SDM in reconstructing the left‐out subject by measuring RMSE, which were in line with previous studies, albeit they were typically performed on an assumed less‐challenging population of healthy scapula 11,18,22,36 …”
Section: Discussionsupporting
confidence: 82%
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