Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Saima Mustafa"'
Autor:
Shumaila Manzoor, Saima Mustafa, Kanza Gulzar, Asim Gulzar, Sadia Nishat Kazmi, Syed Muhammad Abrar Akber, Rasool Bukhsh, Sheraz Aslam, Syed Muhammad Mohsin
Publikováno v:
Symmetry, Vol 16, Iss 6, p 655 (2024)
Effective and optimal decision-making can enhance system performance, potentially leading to a positive reputation and financial gains. Multi-criteria decision-making (MCDM) is an important research topic widely applied to practical decision-making p
Externí odkaz:
https://doaj.org/article/0c940cd704da48298a57b579e9e1d397
Autor:
Kanza Gulzar, Omar Tariq, Saima Mustafa, Syed Muhammad Mohsin, Sadia Nishat Kazmi, Syed Muhammad Abrar Akber, Mohammed Abazeed, Mohammed Ali
Publikováno v:
IEEE Access, Vol 11, Pp 146076-146089 (2023)
Recent advances in information and communication technology have greatly increased the popularity of online education. The COVID-19 pandemic has further accelerated the adoption of online education due to the need for educational institutions to adop
Externí odkaz:
https://doaj.org/article/3ccf3ceef83a42fc84c77739adf731cc
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/1108f4ae47314498827a816f1643d19d
Publikováno v:
Operational Research in Engineering Sciences: Theory and Applications (2022)
Decision making process in stock trading is a complex one. Stock market is a key factor of monetary markets and signs of economic growth. In some circumstances, traditional forecasting methods cannot contract with determining and sometimes data consi
Externí odkaz:
https://doaj.org/article/1dbc5ee69a9e4b44988817a67a7f129c
Autor:
Saima Mustafa, Shumaila Ghaffar, Murrium Bibi, Muhammad Ghaffar Khan, Qaisara Praveen, Harish Garg, Mahamane Saminou
Publikováno v:
Complexity, Vol 2022 (2022)
The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful com
Externí odkaz:
https://doaj.org/article/439eb51c495b40d8b2f981fb9ffd6583
Autor:
Saadia Masood, null Hajira, Hassan Khan, Rasool Shah, Saima Mustafa, Qasim Khan, Muhammad Arif, Fairouz Tchier, Gurpreet Singh
Publikováno v:
Journal of Function Spaces, Vol 2022 (2022)
In general, solving fractional partial differential equations either numerically or analytically is a difficult task. However, mathematicians have tried their best to make the task easy and promoted various techniques for their solutions. In this reg
Externí odkaz:
https://doaj.org/article/329da0b88c1c43fe8382f91e344b696e
Publikováno v:
Complexity, Vol 2022 (2022)
In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method i
Externí odkaz:
https://doaj.org/article/ec3bdd0c41a0439c99307c9780d9c44b
Publikováno v:
Frontiers in Physics, Vol 8 (2021)
This research article is mainly concerned with the analytical solution of diffusion equations within a Caputo fractional-order derivative. The motivation and novelty behind the present work are the application of a sophisticated and straight forward
Externí odkaz:
https://doaj.org/article/ac47df34c80d449390342cad0a2160fe
Publikováno v:
Fractal and Fractional, Vol 5, Iss 4, p 206 (2021)
In the present note, a new modification of the Adomian decomposition method is developed for the solution of fractional-order diffusion-wave equations with initial and boundary value Problems. The derivatives are described in the Caputo sense. The ge
Externí odkaz:
https://doaj.org/article/7e5ab411dee748298a5775c1ec7190c1
Publikováno v:
Punjab University Journal of Mathematics. :103-109
There are number of inference techniques that can be used for the estimation of the unknown parameters which are based on precise crisp data, but there are many situations where we deal with imprecise and vague data. In this situation the classical m