Zobrazeno 1 - 10
of 1 459
pro vyhledávání: '"A. Alipanah"'
Publikováno v:
Results in Applied Mathematics, Vol 22, Iss , Pp 100459- (2024)
In this paper, we employ a nonclassical sinc-collocation method to compute numerical solutions for singularly perturbed singular third-order boundary value problems prevalent in various scientific and engineering domains. Utilizing the sinc approxima
Externí odkaz:
https://doaj.org/article/89769e882b684c0b87283d32c4caaa7b
Publikováno v:
Iranian Journal of Numerical Analysis and Optimization, Vol 13, Iss 2, Pp 187-204 (2023)
We apply the rational radial basis functions (RRBFs) method to solve the Allen–Cahn (A.C) equation, particularly when the equation has a so-lution with steep front or sharp gradients. We approximate the spatial derivatives by the RRBFs method. Then
Externí odkaz:
https://doaj.org/article/038774372b9f4ce49cdca599a07fdec9
Publikováno v:
Results in Applied Mathematics, Vol 20, Iss , Pp 100403- (2023)
In this paper, we use the nonclassical SE-sinc-collocation and nonclassical DE-sinc-collocation methods for the numerical solution of singular third-order boundary value problems. The novelty of the approach is based on using the new non-classical we
Externí odkaz:
https://doaj.org/article/96d42e1af019427e856c583359dd844b
Autor:
K. Mohammadi, A. Alipanah
Publikováno v:
Results in Applied Mathematics, Vol 19, Iss , Pp 100381- (2023)
This paper presents a new numerical technique based on the sinc-collocation approximation for solving of the system of second-order integro-differential equations with initial boundary conditions. The novelty of the approach consists on the usage of
Externí odkaz:
https://doaj.org/article/3f6b9bf166c742488218819b0352f5c8
Autor:
Jafarinia, Hossein, Alipanah, Alireza, Hamdi, Danial, Razavi, Saeed, Mirzaie, Nahal, Rohban, Mohammad Hossein
Whole Slide Image (WSI) classification with multiple instance learning (MIL) in digital pathology faces significant computational challenges. Current methods mostly rely on extensive self-supervised learning (SSL) for satisfactory performance, requir
Externí odkaz:
http://arxiv.org/abs/2408.08258
Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold
Generative Adversarial Networks (GANs) have shown remarkable success in modeling complex data distributions for image-to-image translation. Still, their high computational demands prohibit their deployment in practical scenarios like edge devices. Ex
Externí odkaz:
http://arxiv.org/abs/2312.14776
Publikováno v:
Microsystems & Nanoengineering, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Early and accurate diagnosis of human immunodeficiency virus (HIV) infection is essential for timely initiation of antiretroviral therapy (ART) and prevention of new infections. However, conventional nucleic-acid-based tests for HIV detectio
Externí odkaz:
https://doaj.org/article/3f6cf2b269e4426dbc0b95ac2f577c0b
Publikováno v:
In Results in Applied Mathematics May 2024 22
Autor:
Kiss, Gábor Dávid a, ∗, 1, Alipanah, Sabri b
Publikováno v:
In Economic Modelling February 2024 131
The nucleus of white blood cells (WBCs) plays a significant role in their detection and classification. Appropriate feature extraction of the nucleus is necessary to fit a suitable artificial intelligence model to classify WBCs. Therefore, designing
Externí odkaz:
http://arxiv.org/abs/2101.11654