Výsledky vyhledávání - "Oilson Alberto Gonzatto"

Akademický článek

Incorporation of Frailties Into a Non-Proportional Hazard Regression Model and Its Diagnostics for Reliability Modeling of Downhole Safety Valves

Autor: Francisco Louzada, Jose Alberto Cuminato, Oscar Mauricio Hernandez Rodriguez, Vera L. D. Tomazella, Eder Angelo Milani, Paulo Henrique Ferreira, Pedro Luiz Ramos, Gustavo Bochio, Ivan Carlos Perissini, Oilson Alberto Gonzatto Junior, Alex Leal Mota, Luis Felipe Acuna Alegria, Danilo Colombo, Paulo Guilherme Oliveira De Oliveira, Hugo Francisco Lisboa Santos, Marcus Vinicius De Campos De Magalhaes

Publikováno v: IEEE Access, Vol 8, Pp 219757-219774 (2020)

In this paper, our proposal consists of incorporating frailty into a statistical methodology for modeling time-to-event data, based on non-proportional hazards regression model. Specifically, we use the generalized time-dependent logistic (GTDL) mode

Externí odkaz: https://doaj.org/article/9f86557d393e4fc39f2213bbd1e0ac10

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fakenewsbr: A Fake News Detection Platform for Brazilian Portuguese

Autor: Giordani, Luiz, Darú, Gilsiley, Queiroz, Rhenan, Buzinaro, Vitor, Neiva, Davi Keglevich, Guzmán, Daniel Camilo Fuentes, Henriques, Marcos Jardel, Junior, Oilson Alberto Gonzatto, Louzada, Francisco

The proliferation of fake news has become a significant concern in recent times due to its potential to spread misinformation and manipulate public opinion. This paper presents a comprehensive study on detecting fake news in Brazilian Portuguese, foc

Externí odkaz: http://arxiv.org/abs/2309.11052

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Akademický článek

Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks

Autor: Oilson Alberto Gonzatto Junior, Terezinha Aparecida Guedes, Aline Maria Orbolato Gonçalves-Zuliane, William Mario de Carvalho Nunes

Publikováno v: Acta Scientiarum: Biological Sciences, Vol 39, Iss 2 (2017)

Data with excess zeros are frequently found in practice, and the recommended analysis is to use models that adequately address the counting of zero observations. In this study, the Zero Inflated Beta Regression Model (BeZI) was used on experimental d

Externí odkaz: https://doaj.org/article/6ab948242d7d46329ba3b8cc3fa1b640

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Akademický článek

Maplet programada via maple: solução numérica de um PVI utilizando os Métodos Lineares de passo múltiplo explícitos

Autor: Adilandri Mércio Lobeiro, Oilson Alberto Gonzatto Junior, Tereza Maria Pereira Garcia, Liliana Madalena Gramani, Eloy Kaviski

Publikováno v: Vetor, Vol 24, Iss 1 (2016)

Este artigo objetiva divulgar uma Maplet programada via Maple 16 para resolver um Problema de Valor Inicial composto por uma Equação Diferencial Ordinária de Primeira Ordem utilizando os Métodos Lineares de Passo Múltiplo Explícitos. Para isso,

Externí odkaz: https://doaj.org/article/8d10e649e3d34c4985379bfe7738dc0a

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Akademický článek

Accelerated failure time frailty model for modeling multiple systems subject to minimal repair.

Autor: Pereira, Edilenia Queiroz^1,2 (AUTHOR) edileniaqueiroz@usp.br, Junior, Oilson Alberto Gonzatto¹ (AUTHOR), Tomazella, Vera Lucia Damasceno² (AUTHOR), Morita, Lia Hanna Martins³ (AUTHOR), Mota, Alex L.⁴ (AUTHOR), Louzada Neto, Francisco¹ (AUTHOR)

Publikováno v: Applied Stochastic Models in Business & Industry. Jul2024, Vol. 40 Issue 4, p1182-1201. 20p.

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Spatial data interpolation

Autor: Afonso Paiva, Dinalva Sales, Eder Brito, Glauco Gonçalves, Marcos Jardel Henriques, Oilson Alberto Gonzatto Junior, Samuel Silva, Saulo Mastelini, Thales Vieira, Vera Tomazella

Massive data collection has been carried out in both information gathering and decision making in real-time. Due to the nature of the data type (spatial or spatio-temporal), treatment and interpolation become essential steps in this process. In this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf848b4bba88a9acb79e506bd1a756f2
https://doi.org/10.33774/miir-2022-18js5

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Probability on graphical structure: a knowledge-based agricultural case

Autor: Diego C. Nascimento, Pedro Luiz Ramos, Oilson Alberto Gonzatto Junior, Anderson Ara, Francisco Louzada, Marcos Jardel Henriques, Gabriel Kamada Mattar, Paula Ianishi

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

This paper provides a rich framework to estimate the causal relationship among eighteen features (related to the product type and classification) on an agronomy study by using Bayesian Networks, which are a type of probabilistic graphical model. Ther

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c71dae0340ef7ad2aabc5326700e320

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Safety-Stock: predicting the demand for supplies in Brazilian hospitals during the COVID-19 pandemic

Autor: Francisco Louzada, Marcos Jardel Henriques, Oilson Alberto Gonzatto, Maristela Oliveira dos Santos, Diego C. Nascimento, Rafaela Guerra, Diego Assad, Evelyn Keise Bertazo, Cibele M. Russo, José Alberto Cuminato, Caio Paziani Tomazella, Denis Neves

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

BackgroundMany challenges lie ahead when dealing with COVID-19, not only related to the acceleration of the pandemic, but also to the prediction of personal protective equipment consumption to accommodate the explosive demand. Due to this situation o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce89476333cc6f86c665ae77b9077164

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Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves

Autor: Paulo Guilherme Oliveira De Oliveira, Hugo Francisco Lisboa Santos, Alex L. Mota, Pedro Luiz Ramos, Eder Angelo Milani, Oilson Alberto Gonzatto Junior, José Alberto Cuminato, Luis F. A. Alegría, Ivan C. Perissini, P.H.D. Ferreira, Marcus V. C. Magalhães, Gustavo Bochio, Oscar Mauricio Hernandez Rodriguez, Danilo Colombo, Francisco Louzada, Vera Tomazella

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
IEEE Access, Vol 8, Pp 219757-219774 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::522d61d3487c03c371993d2187b05a62

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