Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Omar Saber Qasim"'
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
Autor:
Omar Saber Qasim, Zakariya Y. Algamal
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 4, Pp 697-706 (2020)
The selection feature is an important and fundamental step in the preprocessing of many classification and machine learning problems. The feature selection (FS) method is used to reduce the amount of data used and to create high-probability of classi
Externí odkaz:
https://doaj.org/article/bfc74fdc65264f12bce24c6bc4cb617b
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 52, Iss 3 (2020)
In this paper, several parameters of the non-linear Hirota-Satsuma coupled KdV system were estimated using a hybrid between the Firefly Algorithm (FFA) and the Modified Adomian decomposition method (MADM). It turns out that optimal parameters can sig
Externí odkaz:
https://doaj.org/article/dac5cc849e3140af91100cc52540866e
Publikováno v:
Journal of Interdisciplinary Mathematics. 25:1733-1752
Publikováno v:
Journal of Interdisciplinary Mathematics. 25:573-585
Publikováno v:
Journal of Intelligent Systems. 32
Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a clustering study, which is an unsupervised learning problem. Data in a cluster are more com
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 13:3025-3035
Selecting highly discriminative features from a whole feature set has become an important research area. Not only can this improve the performance of classification, but it can also decrease the cost of system diagnoses when a large number of noisy,
Publikováno v:
Journal of Mathematical and Fundamental Sciences, Vol 52, Iss 3 (2020)
In this paper, several parameters of the non-linear Hirota-Satsuma coupled KdV system were estimated using a hybrid between the Firefly Algorithm (FFA) and the Modified Adomian decomposition method (MADM). It turns out that optimal parameters can sig
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 5, Iss 6, Pp 1420-1428 (2020)
The aim of the feature selection technique is to obtain the most important information from a specific set of datasets. Further elaborations in the feature selection technique will positively affect the classification process, which can be applied in
Publikováno v:
Annals of Proteomics and Bioinformatics. 4:001-005