Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Zakariya Yahya ALGAMAL"'
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 2 (2024)
Numerous real-world problems have been addressed using support vector regression, particularly v-support vector regression (v-SVR), but some parameters need to be manually changed. Furthermore, v-SVR does not support feature selection. Techniques ins
Externí odkaz:
https://doaj.org/article/d02474f89cc04ceab9fb8398825800e4
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 10 (2024)
The exponentiated Teissier distribution (ETD) offers an alternative for modeling survival data, taking into account flexibility in modeling data with increasing and decreasing hazard rate functions. The most popular method for parameter estimation of
Externí odkaz:
https://doaj.org/article/f63c4eb755424efa983f0848b4a02cb1
Publikováno v:
Scientific African, Vol 19, Iss , Pp e01543- (2023)
Recently, research papers have shown a strong interest in modeling count data. The over-dispersion or under-dispersion are frequently seen in the count data. The count data modeling with a broad range of dispersion has been successfully accomplished
Externí odkaz:
https://doaj.org/article/972b4c6e832e40a88d681fe2a781c204
Publikováno v:
Journal of Mathematics, Vol 2022 (2022)
The Poisson regression model is popularly used to model count data. However, the model suffers drawbacks when there is overdispersion—when the mean of the Poisson distribution is not the same as the variance. In this situation, the Bell regression
Externí odkaz:
https://doaj.org/article/143550da96d44c9db2e1ef9479e8d5b7
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2022)
The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the situations in beta regression, the explanatory variables are related to each other which is
Externí odkaz:
https://doaj.org/article/f2a397821c93446eaddb601a13084e7c
Publikováno v:
Informatics in Medicine Unlocked, Vol 24, Iss , Pp 100622- (2021)
The removal of irrelevant and insignificant genes has always been a major step in microarray data analysis. The application of gene selection methods in biological datasets has greatly increased, supporting expert systems in cancer diagnostic capabil
Externí odkaz:
https://doaj.org/article/47da15e74c254ae0a0aa4ac3ec66fd1a
Autor:
Ahmed A. Ewees, Zakariya Yahya Algamal, Laith Abualigah, Mohammed A. A. Al-qaness, Dalia Yousri, Rania M. Ghoniem, Mohamed Abd Elaziz
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1273 (2022)
Recently, a new optimizer, called the Aquila Optimizer (AO), was developed to solve different optimization problems. Although the AO has a significant performance in various problems, like other optimization algorithms, the AO suffers from certain li
Externí odkaz:
https://doaj.org/article/4dd15e411a2d4defb718c0580f21b227
Autor:
Ahmed A. Ewees, Mohammed A. A. Al-qaness, Laith Abualigah, Diego Oliva, Zakariya Yahya Algamal, Ahmed M. Anter, Rehab Ali Ibrahim, Rania M. Ghoniem, Mohamed Abd Elaziz
Publikováno v:
Mathematics, Vol 9, Iss 18, p 2321 (2021)
Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining, medicine, biology, public health, image processing, data clustering, and others. This paper propo
Externí odkaz:
https://doaj.org/article/e4817783df9c45a99b3cd79d1f3eb5dc
Autor:
Onalenna Moseane, Johannes Tshepiso Tsoku, Metsileng, Daniel, Zakariya Yahya Algamal, Abonazel, Mohamed R.
Publikováno v:
Frontiers in Applied Mathematics & Statistics; 2024, p01-11, 11p
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 31:121-133
Clustering is one of the essential branches of data mining, which has numerous practical uses in real-time applications.The Kernel K-means method (KK-means) is an extended operative clustering algorithm. However, this algorithm entirely dependent on