Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abdu Gumaei"'
Autor:
Hadaate Ullah, Md Belal Bin Heyat, Hussain AlSalman, Haider Mohammed Khan, Faijan Akhtar, Abdu Gumaei, Aaman Mehdi, Abdullah Y. Muaad, Md Sajjatul Islam, Arif Ali, Yuxiang Bu, Dilpazir Khan, Taisong Pan, Min Gao, Yuan Lin, Dakun Lai
Publikováno v:
Journal of Healthcare Engineering.
Recently, cardiac arrhythmia recognition from electrocardiography (ECG) with deep learning approaches is becoming popular in clinical diagnosis systems due to its good prognosis findings, where expert data preprocessing and feature engineering are no
Autor:
Hanaa Fathi, Hussain AlSalman, Abdu Gumaei, Ibrahim I. M. Manhrawy, Abdelazim G. Hussien, Passent El-Kafrawy
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
Cancer can be considered as one of the leading causes of death widely. One of the most effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using expression profiling technique which is based on microarray gene. For e
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
In this paper, we introduce the new concept of coupled fixed-point (FP) results depending on another function in fuzzy cone metric spaces (FCM-spaces) and prove some unique coupled FP theorems under the modified contractive type conditions by using
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
The main purpose of this manuscript is to present a novel idea on the q-rung orthopair fuzzy rough set (q-ROFRS) by the hybridized notion of q-ROFRSs and rough sets (RSs) and discuss its basic operations. Furthermore, by utilizing the developed conce
Publikováno v:
Complexity, Vol 2021 (2021)
Fuzzy sets and fuzzy logics are used to model events with imprecise, incomplete, and uncertain information. Researchers have developed numerous methods and techniques to cope with fuzziness or uncertainty. This research intends to introduce the novel
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
In this manuscript, the theory of constant picture fuzzy graphs (CPFG) is developed. A CPFG is a generalization of constant intuitionistic fuzzy graph (CIFG) and a special case of picture fuzzy graph (PFG). Additionally, the article includes some bas
Autor:
Hakeem Ullah, Imran Khan, Hussain AlSalman, Saeed Islam, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Abdu Gumaei, Mehreen Fiza, Kashif Ullah, Sk. Md. Mizanur Rahman, Muhammad Ayaz
Publikováno v:
Complexity, Vol 2021 (2021)
In this research work, an effective Levenberg–Marquardt algorithm-based artificial neural network (LMA-BANN) model is presented to find an accurate series solution for micropolar flow in a porous channel with mass injection (MPFPCMI). The LMA is on
Autor:
Mehreen Fiza, Saeed Islam, Imran Khan, Hakeem Ullah, Farkhanda Ikhlaq, Muhammad Shoaib, Muhammad Asif Zahoor Raja, Hussain AlSalman, Abdu Gumaei
Publikováno v:
Journal of Function Spaces, Vol 2021 (2021)
In this article, an effective computing approach is presented by exploiting the power of Levenberg-Marquardt scheme (LMS) in a backpropagation learning task of artificial neural network (ANN). It is proposed for solving the magnetohydrodynamics (MHD)
Publikováno v:
Mathematical Problems in Engineering, Vol 2021 (2021)
Connectivity index CI has a vital role in real-world problems especially in Internet routing and transport network flow. Intuitionistic fuzzy graphs IFGs allow to describe two aspects of information using membership and nonmembership degrees under un
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
Recently, the concept of a soft rough fuzzy covering (briefly, SRFC) by means of soft neighborhoods was defined and their properties were studied by Zhan’s model. As a generalization of Zhan’s method and in order to increase the lower approximati