Grain Boundary Detection Based on Multi-Level Loss From Feature and Adversarial Learning
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DOI: 10.1109/access.2020.3011703
Abstract: The shape, size and distribution of grains play an important role in the quality of alloy materials. However, in the actual production process, the grain boundary is not always visible in the metallographic image observed… read more here.
Keywords: feature; level; level loss; multi level ... See more keywords
A Methodology for Evaluating Component-Level Loss Predictions of the FEMA P-58 Seismic Performance Assessment Procedure
Sign Up to like & getrecommendations! Published in 2019 at "Earthquake Spectra"
DOI: 10.1193/031618eqs061m
Abstract: As performance-based earthquake engineering (FEMA P-58) becomes more widely adopted in design and risk analysis practice, it is important to understand the degree to which the calculations reflect reality. This article proposes a methodology for… read more here.
Keywords: component level; level loss; methodology; loss predictions ... See more keywords