Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Marwan Abdul"'
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 9 (2024)
The aim of this paper is to present a new approach to address the Fuzzy C Mean algorithm, which is considered one of the most important and famous algorithms that addressed the phenomenon of uncertainty in forming clusters according to the overlap ra
Externí odkaz:
https://doaj.org/article/67d8a62ff7014140a131fa56b19086bd
Autor:
Marwan Abdul Hameed Ashour
Publikováno v:
Baghdad Science Journal, Vol 19, Iss 4 (2022)
Artificial Neural networks (ANN) are powerful and effective tools in time-series applications. The first aim of this paper is to diagnose better and more efficient ANN models (Back Propagation, Radial Basis Function Neural networks (RBF), and Recurre
Externí odkaz:
https://doaj.org/article/2da8a834ef9e469db5462024272a91d5
Publikováno v:
Baghdad Science Journal; 2024, Vol. 21 Issue 9, p2956-2969, 14p
Autor:
Salem Allafi, Faisal Aboelksim, Hossain, Md Sohrab, Ab Kadir, Mohd Omar, Hakim Shaah, Marwan Abdul, Lalung, Japareng, Ahmad, Mardiana Idayu
Publikováno v:
In Journal of Cleaner Production 20 February 2021 285
Publikováno v:
Journal of Economics & Administrative Sciences; Jun2024, Vol. 30 Issue 141, p457-478, 22p
Publikováno v:
E3S Web of Conferences; 3/18/2024, Vol. 501, p1-4, 4p
Autor:
Mohammed, Ahmed Husham1 ahmed.albasrai@uobasrah.edu.iq, Ashour, Marwan Abdul Hameed2
Publikováno v:
Journal of Algebraic Statistics. 2022, Vol. 13 Issue 2, p2818-2831. 14p.
Publikováno v:
Atthulab: Islamic Religion Teaching and Learning Journal. 7:89-95
Publikováno v:
International journal of health sciences. :6584-6600
This study aims at presenting an approach capable of improving the efficiency measurement index using the Principal Component Analysis. The main reason for the adoption of this approach in measurement process lies in the fact that during an analysis
Publikováno v:
Contributions to Statistics ISBN: 9783031141966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b2cd092251e882b3d88fc8212f1ab6b
https://doi.org/10.1007/978-3-031-14197-3_11
https://doi.org/10.1007/978-3-031-14197-3_11