Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fatemeh Sogandi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-33 (2024)
Abstract The recent pandemic caused by COVID-19 is considered an unparalleled disaster in history. Developing a vaccine distribution network can provide valuable support to supply chain managers. Prioritizing the assigned available vaccines is crucia
Externí odkaz:
https://doaj.org/article/977fab6913c74028b278eeac9a72be4b
Autor:
Fatemeh Sogandi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The symptoms of diseases can vary among individuals and may remain undetected in the early stages. Detecting these symptoms is crucial in the initial stage to effectively manage and treat cases of varying severity. Machine learning has made
Externí odkaz:
https://doaj.org/article/be4069298a6449469fd7c54ce502e5cf
Autor:
Fatemeh Sogandi
Publikováno v:
International Journal of Research in Industrial Engineering, Vol 11, Iss 4, Pp 399-410 (2022)
Curve fitting is a computational problem in which we look for a base objective function with a set of data points. Recently, nonparametric regression has received a lot of attention from researchers. Usually, spline functions are used due to the diff
Externí odkaz:
https://doaj.org/article/daece0350fdc464c95b6eed0f6bda069
Publikováno v:
Computers & Industrial Engineering. 130:699-713
Healthcare-related processes are usually multistage in nature, and the output of each stage is the input of the subsequent stage. However, most existing monitoring schemes consider the individual stages of the healthcare process without considering b
Healthcare processes comprise multiple stages in practice. Also, few researchers have addressed Phase I monitoring of healthcare outcomes. Hence, the purpose of the proposed method is Phase I monitoring by two risk adjusted control charts in multista
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4860b80665e675a4d6ebaa8d31df42fd
Autor:
S. M. T. Fatemi Ghomi, Fatemeh Sogandi
Publikováno v:
Journal of Industrial Engineering International, Vol 15, Iss 2, Pp 287-292 (2018)
Usually, in monitoring a proportion p, the binary observations are considered independent; however, in many real cases, there is a continuous stream of autocorrelated binary observations in which a two-state Markov chain model is applied with first-o
Publikováno v:
Quality Technology & Quantitative Management. 15:435-458
In some applications, the quality of a process or product is characterized by correlated multivariate linear and generalized linear model (GLM) regression profiles. Monitoring these profiles separately leads to misleading results because the correlat
Autor:
Fatemeh Sogandi, Amirhossein Amiri
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:2207-2227
In this article, a maximum likelihood estimator is derived in the generalized linear model-based regression profiles under monotonic change in Phase II. The performance of the proposed estimator is comprehensively investigated through some special ca
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 77:225-233
Control charts are one of the most applicable tools in statistical process control. The time in which the control chart signals an out-of-control alarm is not the actual time in which the change has occurred. In other words, control chart detects the
Publikováno v:
Advanced Computational Techniques in Electromagnetics. 2014:1-8
Control charts are one of the most important tools in statistical process control that lead to improve quality processes and ensure required quality levels. In traditional control charts, all data should be exactly known, whereas there are many quali