{"id":105,"date":"2024-02-15T13:28:13","date_gmt":"2024-02-15T13:28:13","guid":{"rendered":"https:\/\/www.ccen.ufpb.br\/laqa2\/?page_id=105"},"modified":"2025-10-03T13:56:02","modified_gmt":"2025-10-03T16:56:02","slug":"referencias","status":"publish","type":"page","link":"https:\/\/www.ccen.ufpb.br\/laqa\/referencias\/","title":{"rendered":"Downloads"},"content":{"rendered":"\n

Softwares:<\/strong><\/p>\n\n\n\n

QUIMAGENS<\/strong> – Software for image data acquisition (.txt or .xls histograms) – Click here <\/a> to download. If you use this software, please add a reference to one of the below papers:<\/p>\n\n\n\n

1) Souto, U.T.C.P., Barbosa, M.F., Dantas, H.V., Pontes, A.S., Lyra, W.S., Diniz, P.H.G.D., Ara\u00fajo, M.C.U., Silva, E.C., Screening for coffee adulteration using digital images and SPA\u2013LDA, Food Anal. Methods 8 (2015) 1515-1521. https:\/\/doi.org\/10.1007\/s12161-014-0020-7<\/a>.<\/p>\n\n\n\n

IMAGENS_GUI<\/strong>\u00a0–\u00a0Matlab graphical user interface\u00a0for image data acquisition (.mat histograms) \/ Interface em Matlab para aquisi\u00e7\u00e3o de dados de imagens\u00a0 –\u00a0Click here<\/a>\u00a0to download. If you use this software, please add a reference to one of the below papers:<\/p>\n\n\n\n

 1) D.D.S. Fernandes, F. Romeo, G. Krepper, M.S. Di Nezio, M.F. Pistonesi, M.E. Centuri\u00f3n, M.C.U. Ara\u00fajo, P.H.G.D. Diniz, Quantification and identification of adulteration in the fat content of chicken hamburgers using digital images and chemometric tools, LWT – Food Sci. Technol. 100 (2019) 20\u201327. https:\/\/doi.org\/10.1016\/j.lwt.2018.10.034<\/a>.<\/p>\n\n\n\n

  2) D. D. S. Fernandes, V. E. Almeida, L. Pinto, G. V\u00e9ras, R. K. H. Galv\u00e3o, A. A. Gomes, M. C. U. Ara\u00fajo, The successive projections algorithm for interval selection in partial least squares discriminant analysis, Anal. Methods 8 (2016) 7522\u20137530. https:\/\/doi.org\/10.1039\/C6AY01840H<\/a>.<\/p>\n\n\n\n

<\/p>\n\n\n\n

SPA-MLR<\/strong> – Interface gr\u00e1fica do usu\u00e1rio Matlab, permitindo processamento de sinal e sele\u00e7\u00e3o de vari\u00e1veis para calibra\u00e7\u00e3o multivariada \/ Matlab graphical user interface allowing signal processing and variable selection for multivariate calibration Click here<\/a> to download. If you use this software, please add a reference to one of the below papers:<\/p>\n\n\n\n

1) M.C.U. Araujo, R.K.H. Galv\u00e3o. Linear Regression Modeling: Variable Selection. In: Beata Walczak; Rom\u00e1 Tauler Ferr\u00e9; Steven Brown. (Org.). Comprehensive Chemometrics:Chemical and Biochemical Data Analysis (Four-Volume Set). 1\u00aa ed.Amsterd\u00e3: Elsevier, 2009, v. 03, p. 233-283.<\/p>\n\n\n\n

2) H.M. Paiva, S.F.C. Soares, R.K.H. Galv\u00e3o, M.C.U. Araujo. A graphical user interface for variable selection employing the Successive Projections Algorithm. Chemometrics and Intelligent Laboratory Systems. v. 118, p. 260-266, 2012. https:\/\/doi.org\/10.1016\/j.chemolab.2012.05<\/a>. <\/p>\n\n\n\n

BA-LDA – <\/strong>Bat algorithm for variable selection in multivariate classification modeling using linear discriminant analysis.  Click<\/a> here<\/a><\/a> to download. If you use this software, please add a reference to one of the below papers:<\/p>\n\n\n\n

J.C. Souza, S.F.C. Soares, L.C.M. Paula, C. J. Coelho, M. C. U. Ara\u00fajo, E.C. da Silva, Bat algorithm for variable selection in multivariate classification modeling using linear discriminant analysis, Microchemical Journal, Vol. 187, 108382, 2023.<\/p>\n","protected":false},"excerpt":{"rendered":"

Softwares: QUIMAGENS – Software for image data acquisition (.txt or .xls histograms) – Click here  to download. If you […]<\/p>\n","protected":false},"author":79,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-105","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/pages\/105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/users\/79"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/comments?post=105"}],"version-history":[{"count":4,"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/pages\/105\/revisions"}],"predecessor-version":[{"id":184,"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/pages\/105\/revisions\/184"}],"wp:attachment":[{"href":"https:\/\/www.ccen.ufpb.br\/laqa\/wp-json\/wp\/v2\/media?parent=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}