Zobrazeno 1 - 10
of 892
pro vyhledávání: '"R Godoy"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5804 (2024)
This article implements a hybrid Machine Learning (ML) model to classify stoppage events in a copper-crushing equipment, more specifically, a conveyor belt. The model combines Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) with
Externí odkaz:
https://doaj.org/article/eae36bba89d54f43a1b7fc3adaf1d9b5
Publikováno v:
Machines, Vol 12, Iss 9, p 597 (2024)
Renewable energies have a fundamental role in sustainability, with wind power being one of the most important due to its low production costs. Modern wind turbines are becoming bigger and more complex, and their operation and maintenance must be as o
Externí odkaz:
https://doaj.org/article/3f7f58e3e36241da8b35e36c67e9833e
Publikováno v:
Scientia Agricola, Vol 53, Iss 1, Pp -178 (1996)
O trabalho trata da determinação do balanço hídrico de uma cultura de aveia forrageira de inverno (variedade São Carlos), cultivada sob condições de irrigação por aspersão, com o objetivo de obter informações básicas sobre seu comportame
Externí odkaz:
https://doaj.org/article/2acae1f6a05e4284b1f3de116bc9653b
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5514 (2024)
Under Condition-Based Maintenance, the Proportional Hazards Model (PHM) uses Cox’s partial regression and vital signs as covariates to estimate risk for predictive management. However, maintenance faces challenges when dealing with a multi-covariat
Externí odkaz:
https://doaj.org/article/483fca56d25d46f4a1130b3f85885199
Publikováno v:
Machines, Vol 12, Iss 6, p 403 (2024)
The proportional hazards model (PHM) is a vital statistical procedure for condition-based maintenance that integrates age and covariates monitoring to estimate asset health and predict failure risks. However, when dealing with multi-covariate scenari
Externí odkaz:
https://doaj.org/article/b45e86884bd2493db209e5094cab0d54
Publikováno v:
Gayana: Botanica, Vol 62, Iss 2, Pp 61-61 (2005)
Externí odkaz:
https://doaj.org/article/fdac8feebeb64d098eff1649fcb013f9
Autor:
Jakeline S. Fortes, Renata M. Pinto, Raissa F. de Souza, Fernanda R. Godoy, Raphael S. da Cruz, Daniela de M e Silva, Hugo P. Leite Filho, Aparecido D. da Cruz, Lysa B. Minasi
Publikováno v:
BMC Pediatrics, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Obesity is defined as a multifactorial disease, marked by excessive accumulation of body fat, responsible for compromising the individual’s health over the years. The energy balance is essential for the proper functioning of the
Externí odkaz:
https://doaj.org/article/e1bc4c945fac450ea2e629796b09e69c
Publikováno v:
Brazilian Journal of Biology, Vol 83 (2023)
Abstract Ortho-eugenol is a synthetic derivative from eugenol, the major compound of clove essential oil, which has demonstrated antidepressant and antinociceptive effects in pioneering studies. Additionally, its effects appear to be dependent on the
Externí odkaz:
https://doaj.org/article/b845de382a3644fcaba54d5d327f60c6
Publikováno v:
Machines, Vol 12, Iss 1, p 60 (2024)
The Proportional Hazards Model (PHM) under a Condition-Based Maintenance (CBM) policy is used by asset-intensive industries to predict failure rate, reliability function, and maintenance decisions based on vital covariates data. Cox’s partial likel
Externí odkaz:
https://doaj.org/article/492817f9a08743fda09ce98e1558f2ff
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