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    A CNN-Based Method for Quantitative Assessment of Steel Microstructures in Welded Zones by Cássio Danelon de Almeida, Thales Tozatto Filgueiras, Moisés Luiz Lagares, Bruno da Silva Macêdo, Camila Martins Saporetti, Matteo Bodini, Leonardo Goliatt

    Published 2025-05-01
    “…Among these, VGG19 optimized with stochastic gradient descent (SGD) achieved the best predictive performance, with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> of 0.838, MAE of 5.01%, and RMSE of 6.88%. …”
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