Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Marcos Jardel Henriques"'
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
https://doi.org/10.33774/miir-2022-18js5
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
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
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
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
Autor:
Luiz Giordani, Gilsiley H. Darú, Rhenan Queiroz, Vitor Buzinaro, Davi K. Neiva, Daniel Camilo Fuentes Guzman, Marcos Jardel Henriques, Francisco Louzada Neto
Publikováno v:
Anais do II Workshop de Matemática, Estatística e Computação Aplicadas à Indústria.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed279efeea17eb2fcc0fb01b78af652
https://doi.org/10.17648/wmecai-2022-154056
https://doi.org/10.17648/wmecai-2022-154056
Autor:
Vinícius Basseto Félix, Marcos Jardel Henriques, Oilson Alberto Gonzatto Junior, Diogo Francisco Rossoni
Publikováno v:
Ciência e Natura. 38:1157
A Geoestatistica e um ramo da estatistica responsavel pela incorporacao e entendimento das dependencias espaciais na modelagem de variaveis georreferenciadas. Na busca pelo melhor modelo ajustado, tem-se o desafio de desenvolver e dominar um ferramen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b7ee518132f1e79d9aa81f433b0a453
https://doi.org/10.5902/2179460x21326
https://doi.org/10.5902/2179460x21326