Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Jimoh Olawale Ajadi"'
Autor:
Ridwan A. Sanusi, Jimoh Olawale Ajadi, Saddam Akber Abbasi, Taofik O. Dauda, Nurudeen A. Adegoke
Publikováno v:
IEEE Access, Vol 12, Pp 55874-55888 (2024)
The field of immunology requires refined techniques to identify detailed cellular variance in high-dimensional images. Current methods mainly capture general immune cell proportion variations and often overlook specific deviations in individual patie
Externí odkaz:
https://doaj.org/article/41e7abfaacdc40f69c3fbe7f5462d585
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0299386 (2024)
Malaria is the most common cause of death among the parasitic diseases. Malaria continues to pose a growing threat to the public health and economic growth of nations in the tropical and subtropical parts of the world. This study aims to address this
Externí odkaz:
https://doaj.org/article/35d691bf4d7441e59aba09d656ccb67d
Publikováno v:
IEEE Access, Vol 7, Pp 100174-100186 (2019)
The dispersion control charts monitor the variability of a process that may increase or decrease. An increase in dispersion parameter implies deterioration in the process for an assignable cause, while a decrease in dispersion indicates an improvemen
Externí odkaz:
https://doaj.org/article/46643e81619544f2811fd7407ba483c6
Publikováno v:
Mathematics, Vol 9, Iss 9, p 1038 (2021)
A multivariate control chart is proposed to detect changes in the process dispersion of multiple correlated quality characteristics. We focus on individual observations, where we monitor the data vector-by-vector rather than in (rational) subgroups.
Externí odkaz:
https://doaj.org/article/c1189dddf7994d65bd337ebb76be0102
Autor:
Ganiyu Ayodele Ajibade, Muhammad Riaz, Alshahrani Mohammed, John Olusola Kuboye, Ekele Alih, Jimoh Olawale Ajadi
Publikováno v:
Quality and Reliability Engineering International. 38:4157-4168
Publikováno v:
International Journal of Quality & Reliability Management.
PurposeThis work aims to focuse on improving the performance of the new exponentially weighted moving average (NEWMA) scheme for monitoring process dispersion. The authors use the generalized time-varying fast initial response (GFIR) to further enhan
Publikováno v:
Quality and Reliability Engineering International. 38:834-847
Publikováno v:
Quality and Reliability Engineering International. 37:2724-2737
Publikováno v:
Quality Engineering. 33:60-75
A multivariate control chart is designed to monitor process parameters of multiple correlated quality characteristics. Often data on multivariate processes are collected as individual observations, i.e. as vectors one at the time. Various control cha
Parametric and nonparametric multivariate control charts that are proven very useful in monitoring the covariance matrix of multivariate normally or “nearly” normally distributed continuous datasets have been proposed in statistical process contr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f44e2537af33ee1283e54165286ca0
https://hdl.handle.net/10576/28320
https://hdl.handle.net/10576/28320