Výsledky vyhledávání - "Lucas Janoni dos Santos"

Akademický článek

Artificial intelligence method developed for classifying raw sugarcane in the presence of the solid impurity

Autor: Lucas Janoni dos Santos, Érica Regina Filletti, Fabiola Manhas Verbi Pereira

Publikováno v: Eclética Química, Vol 46, Iss 3, Pp 49-54 (2021)

An investigation dedicated to evaluating a big issue in biorefineries, solid impurity in raw sugarcane, is presented. This relevant industrial sector requests a high-frequency, low-cost, and noninvasive method. Then, the developed method uses the ave

Externí odkaz: https://doaj.org/article/ac9ec0b68e504cdab310189dc9d13d5f

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Artificial intelligence method developed for classifying raw sugarcane in the presence of the solid impurity

Autor: Érica Regina Filletti, Lucas Janoni dos Santos, Fabíola Manhas Verbi Pereira

Publikováno v: Eclética Química, Vol 46, Iss 3, Pp 49-54 (2021)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2022-04-28T19:41:29Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01 An investigation dedicated to evaluating a big issue in biorefineries, solid impurity in raw sugarcane, is presented. This relevant industria

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e30dfdc218c37887995336695a7c01e2
https://revista.iq.unesp.br/ojs/index.php/ecletica/article/view/1232

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A Proof of Concept Study for the Parameters of Corn Grains Using Digital Images and a Multivariate Regression Model

Autor: Fabíola Manhas Verbi Pereira, Lucas Janoni dos Santos, Vanessa Rodrigues de Camargo

Publikováno v: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2018-12-11T16:49:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2018-07-01 Fundação para o Desenvolvimento da UNESP (FUNDUNESP) In this method, a numerical matrix comprised of ten color scales (RGB, HSV, L, and rgb

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f9ef68cfad4f38a4e4dc6557abe21f
https://doi.org/10.1007/s12161-017-1028-6

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Sugarcane Stalk Content Prediction in the Presence of a Solid Impurity Using an Artificial Intelligence Method Focused on Sugar Manufacturing

Autor: Fabíola Manhas Verbi Pereira, Lucas Janoni dos Santos, Érica Regina Filletti, Wesley Nascimento Guedes

Publikováno v: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP

Made available in DSpace on 2019-10-06T15:45:59Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-01-01 For the first time in literature, an analytical method was developed using artificial neural networks (ANNs) combined with color information

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51ccb3b3cce4270dff97349dd3babe1f

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