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Evangelia Nektaria Palkanoglou

1 paper hereh-index 14 citations1 works total

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  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.LG1

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most citedA generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2025★ 5 cited

A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitoring benchmark validation

Marios Impraimakis, Evangelia Nektaria Palkanoglou

The optimization-based damage detection and damage state digital twinning capabilities are examined here of a novel conditional-labeled generative adversarial network methodology.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.