14 papers · ranked by Valyu relevance
Ehab M. Almetwally, Mohammad A. Zayed, Sara I. Abo-Hashem, Rahma Sadat + 2 more
This research is devoted to analyze a conformable fractional-order model of nonlinear two-dimensional transmission line metamaterials. The conformable fractional derivative is utilized to broaden classical differentiation while maintaining essential aspects, including the chain rule. Transmission line metamaterials, as…
Mahesh Chandra
—Hyperbolic tangent and Sigmoid functions are used as non-linear activation units in the artificial and deep neural networks. Since, these networks are computationally expensive, customized accelerators are designed for achieving the required performance at lower cost and power. The activation function and MAC units…
Mahesh Chandra
—Deep neural networks yield the state of the art results in many computer vision and human machine interface tasks such as object recognition, speech recognition etc. Since, these networks are computationally expensive, customized accelerators are designed for achieving the required performance at lower cost and power.…
Mahy Ahmed, Hamdy M. Ahmed, Niveen Badra, Islam Samir
In this study, we investigate the (2+1)-dimensional Kadomtsev-Petviashvili-Sawada-Kotera-Ramani (KPSKR) equation, a physically significant model describing nonlinear wave phenomena in higher-dimensional spaces. Utilizing the improved modified extended tanh-function method, we derive a diverse spectrum of exact…
M Ali Akbar, Norhashidah Hj Mohd Ali, Syed Tauseef Mohyud-Din
Title: PACS numbers 02.30.Jr, 05.45.Yv, 02.30.Ik
Slobodan Zdravković, L. Kavitha, M. V. Satarić, Slobodan Zeković + 1 more
'Jovana Petrović'] We here present a model of nonlinear dynamics of microtubules (MT) in the context of modified extended tanh-function (METHF) method. We rely on the ferroelectric model of MTs published earlier by Satarić et al [1] where the motion of MT subunits is reduced to a single longitudinal degree of freedom…
M. S. Abdel Latif
Recently, Many methods have been proposed for obtaining exact traveling wave solutions of partial differential equations. An example of these methods is the (G′/G)− expansion method [1] which is used to obtain traveling wave solutions of many models (see for example [2, 3]). Also, many improved and extended versions of…
Mahesh Chandra
Deep neural networks yield the state-of-the-art results in many computer vision and human machine interface applications such as object detection, speech recognition etc. Since, these networks are computationally expensive, customized accelerators are designed for achieving the required performance at lower cost and…
Noufe H. Aljahdaly, R. A. Alharbey, Ahlam S. Aljohani, Junyuan Yang
T his article studied a mathematical model for the diffusive human immunodeficiency virus-type 1 (HIV-1) infection combining with stem cell therapy. The HIV-1 infection is a chronic disease and the viral replication continues if the patient stopes use the antiretroviral therapy (cART). Therefore, it is important to…
Khadija Shakeel, Dumitru Baleanu, Muhammad Abbas, Majeed Ahmad Yousif + 3 more
This study introduces new exact soliton solutions of the time-fractional Joseph-Egri equation by employing the Tanh-Coth and Jacobi Elliptic Function methods. Using Jumarie’s modified Riemann-Liouville derivative, a wide variety of soliton structures-such as periodic, bell-shaped, W-shaped, kink, and anti-bell-shaped…
M. Morgan, Hamdy M. Ahmed, M. Sayed, Mahmoud Soliman
This work investigates dispersive optical solitons governed by a perturbed cubic-quartic nonlinear Schrödinger equation with parabolic self-phase modulation, a model of direct relevance to high-capacity fiber-optic systems where simultaneous higher-order dispersion and nonlinear perturbations shape pulse dynamics. The…
Khaled Aldwoah, Alaa Mustafa, Tariq Aljaaidi, Khidir Mohamed + 3 more
'Amer Alsulami' 'Mohammed Hassan' 'Rab Nawaz'] This work considers a stochastic form of an extended version of the Kairat-II equation by adding Browning motion into the deterministic equation. Two analytical approaches are utilized to derive analytical solutions of the modified equation. The first method is the…
Nan Miles Xi, Jingyi Jessica Li
Autoencoders are the backbones of many imputation methods that aim to relieve the sparsity issue in single-cell RNA sequencing (scRNA-seq) data. The imputation performance of an autoencoder relies on both the neural network architecture and the hyperparameter choice. So far, literature in the single-cell field lacks a…
Hector Vazquez-Leal, Mario Alberto Sandoval-Hernandez, Uriel Filobello-Nino
'Uriel Filobello-Nino'] During the phenomena modelling process in the different areas of science and engineering is common to face nonlinear equations without exact solutions; thus, the need of employing numerical methods to obtain such solutions. Therefore, in order to provide new possibilities for the isolation of…