Zobrazeno 1 - 10
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pro vyhledávání: '"Abobaker, M."'
Publikováno v:
AIMS Mathematics, Vol 9, Iss 7, Pp 18034-18047 (2024)
In this paper, we introduced two novel subclasses of bi-univalent functions, $ \mathcal{M}_{\Sigma}(\alpha, \mathcal{B}(x, \xi)) $ and $ \mathcal{H}_{\Sigma}(\alpha, \mu, \mathcal{B}(x, \xi)) $, utilizing Lucas-Balancing polynomials. Within these fun
Externí odkaz:
https://doaj.org/article/3b9511b3f8e7475fbda758f54c6ebcca
Publikováno v:
AIMS Mathematics; 2024, Vol. 9 Issue 7, p18034-18047, 14p
Akademický článek
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Akademický článek
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Autor:
Abobaker M; Wits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg2193, South Africa., Govender M; Wits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg2193, South Africa., Choonara YE; Wits Advanced Drug Delivery Platform Research Unit, Department of Pharmacy and Pharmacology, School of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg2193, South Africa.
Publikováno v:
Current pharmaceutical design [Curr Pharm Des] 2024 Jun 20. Date of Electronic Publication: 2024 Jun 20.
Publikováno v:
In Scripta Materialia 1 April 2015 99:17-20
Publikováno v:
Scholars Journal of Physics, Mathematics and Statistics. :11-29
Autor:
Rado, Mariam Abobaker. M.
Magister Scientiae - MSc
Cancer is the most common leading cause of death worldwide. Glioblastoma and breast cancer are the most aggressive solid tumour. The survival rate of these tumours depends on their ability to progress and spread. These c
Cancer is the most common leading cause of death worldwide. Glioblastoma and breast cancer are the most aggressive solid tumour. The survival rate of these tumours depends on their ability to progress and spread. These c
Externí odkaz:
http://hdl.handle.net/11394/9140
Publikováno v:
Abstract and Applied Analysis, Vol 2014 (2014)
Empirical mode decomposition (EMD) is particularly useful in analyzing nonstationary and nonlinear time series. However, only partial data within boundaries are available because of the bounded support of the underlying time series. Consequently, the
Externí odkaz:
https://doaj.org/article/edc9da35fbc0419e811860e31f94482f
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
This paper mainly forecasts the daily closing price of stock markets. We propose a two-stage technique that combines the empirical mode decomposition (EMD) with nonparametric methods of local linear quantile (LLQ). We use the proposed technique, EMD-
Externí odkaz:
https://doaj.org/article/e5b75fb6ab5141029227b652c900fd4b