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Classification of olive cultivars using artificial neural networks

Peres, António M.; Baptista, Paula; Malheiro, Ricardo; Dias, L.G.; Bento, Albino; Pereira, J.A.

Olive fruit classification according to their cultivar is of major importance to guarantee varietal authenticity. Usually, non-supervised or supervised statistical tools (such as Principal Component Analysis or Linear Discriminant Analysis, respectively) are used for this purpose, based on several physico-chemical data, namely table olive fatty acids profiles, dietary fiber, sugar, organic acids and mineral nut...

Data: 2011   |   Origem: Biblioteca Digital do IPB

Tribological behaviour of epoxy based composites for rapid tooling

Pedro V. Vasconcelos; F. Jorge Lino; António M. Baptista; Rui J. L. Neto

Epoxy resin composites are frequently applied in moulds manufactured with rapid tooling technologies that are used for wax and polymer materials injection. With the propose of enlarging the application field of the polymer matrix systems, it is fundamental to select adequate dispersed phases and analyse their influence on the composite properties in order to reinforce the polymer matrix and tailor the propertie...


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia