Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniella Castro, Araújo"'
Autor:
Daniella Castro Araújo, Alexandre Afonso de Macedo, Adriano Alonso Veloso, Patricia Nessralla Alpoim, Karina Braga Gomes, Maria das Graças Carvalho, Luci Maria SantAna Dusse
Publikováno v:
BMC Pregnancy and Childbirth, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Objective This study introduces the complete blood count (CBC), a standard prenatal screening test, as a biomarker for diagnosing preeclampsia with severe features (sPE), employing machine learning models. Methods We used a boosting machine
Externí odkaz:
https://doaj.org/article/02382fb441d441c68ce1762150b9338e
Autor:
Daniella Castro, Araújo, Adriano Alonso, Veloso, Karina Braga, Gomes, Leonardo Cruz, de Souza, Nivio, Ziviani, Paulo, Caramelli
Publikováno v:
Journal of Alzheimer's Disease. 88:549-561
Background: A cheap and minimum-invasive method for early identification of Alzheimer’s disease (AD) pathogenesis is key to disease management and the success of emerging treatments targeting the prodromal phases of the disease. Objective: To devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4541b430062320e19d671d8a2d44a5c
https://doi.org/10.3233/jad-220256
https://doi.org/10.3233/jad-220256
Publikováno v:
Brazilian Journal of Operations & Production Management, Vol 12, Iss 2 (2015)
In this paper, we address the problem of scheduling jobs in a no-wait flowshop with sequence-dependent setup times with the objective of minimizing the makespan and the total flowtime. As this problem is well-known for being NP-hard, we present two n
Externí odkaz:
https://doaj.org/article/83b5f7fd4b5d4329949488ac577edbf4
Autor:
Daniella Castro, Araújo, Adriano Alonso, Veloso, Karina Braga Gomes, Borges, Maria das Graças, Carvalho
Publikováno v:
International Journal of Medical Informatics. 165:104835
Despite an extensive network of primary care availability, Brazil has suffered profoundly during the COVID-19 pandemic, experiencing the greatest sanitary collapse in its history. Thus, it is important to understand phenotype risk factors for SARS-Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9da9ca2a7fbc39e3391aeac1751ab7bc
https://doi.org/10.1016/j.ijmedinf.2022.104835
https://doi.org/10.1016/j.ijmedinf.2022.104835
Autor:
Marie-Noëlle Giraud, Daniella Castro Araújo, Lydia Masako Ferreira, Adriano Veloso, Leandro Raniero, Renato Santos de Oliveira Filho, Renata Andrade Bitar
Publikováno v:
Artificial Intelligence in Medicine. 120:102161
Early-stage detection of cutaneous melanoma can vastly increase the chances of cure. Excision biopsy followed by histological examination is considered the gold standard for diagnosing the disease, but requires long high-cost processing time, and may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::857cfbf6b58180eb9040a0c2f0750ef7
https://doi.org/10.1016/j.artmed.2021.102161
https://doi.org/10.1016/j.artmed.2021.102161
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In this paper, we addressed the problem of scheduling jobs in a no-wait flow shop with sequence-dependent setup times with the objective of minimizing the total flow time. As this problem is well-known for being NP-hard, we present a new constructive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a5fd13ecdd1d456a74522bf9673800b
https://doi.org/10.1016/j.jmsy.2014.06.007
https://doi.org/10.1016/j.jmsy.2014.06.007
Publikováno v:
Advances in Artificial Intelligence ISBN: 9783642167607
MICAI (1)
MICAI (1)
This paper presents a new constructive heuristic named GAPH based on a structural property for the m-machine no-wait flowshop with sequence-dependent setup times with makespan as the criterion. Experimental results demonstrate the superiority of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c35d3151f368b37eefb9dbf6595d126e
https://doi.org/10.1007/978-3-642-16761-4_17
https://doi.org/10.1007/978-3-642-16761-4_17
Publikováno v:
Revista Gestão Industrial; v. 5, n. 4 (2009)
Revista Gestão Industrial
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Revista Gestão Industrial
Universidade Tecnológica Federal do Paraná (UTFPR)
instacron:UTFPR
Este artigo trata do problema de programação de operações em um ambiente de produção no-wait flowshop com tempos de setup separáveis e dependentes da sequência. Uma breve revisão bibliográfica é feita acerca do tema e um novo método heur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aecaaec42ee76970d5335afc63ad9ee
https://doi.org/10.3895/s1808-04482009000400009
https://doi.org/10.3895/s1808-04482009000400009