Search Results - Faim, A L P A

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  1. 1
    Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features

    Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features by Buzatto, I P C, Recife, S A, Miguel, L, Bonini, R M, Onari, N, Faim, A L P A, Silvestre, L, Carlotti, D P, Fröhlich, A, Tiezzi, D G

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  2. 2
    Evaluation of the settling behavior of hematite in an olefin-based drilling fluid using gamma-ray attenuation technique

    Evaluation of the settling behavior of hematite in an olefin-based drilling fluid using gamma-ray attenuation technique by Santos, N.B.C., Fagundes, F.M., Faim, J.G.P., Sá, L.F.R., Souza, E.A., Damasceno, J.J.R., Arouca, F.O.

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