Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Esmail Hassan Abdullatif Al-Sabri"'
Autor:
M. C. Shanmukha, Rashad Ismail, K. J. Gowtham, A. Usha, Muhammad Azeem, Esmail Hassan Abdullatif Al-Sabri
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract The novel applications in chemistry include the mathematical models of molecular structure of the compounds which has numerous findings in this area that refers to mathematical chemistry. Topological descriptors play a major role in QSAR/QSP
Externí odkaz:
https://doaj.org/article/37be00a655b8460cbeb6eba563435256
Autor:
Jia-Bao Liu, Rashad Ismail, Muhammad Kamran, Esmail Hassan Abdullatif Al-Sabri, Shahzaib Ashraf, Ismail Naci Cangul
Publikováno v:
AIMS Mathematics, Iss 9, Pp 20612-20653 (2023)
The single valued neutrosophic probabilistic hesitant fuzzy rough Einstein aggregation operator (SV-NPHFRE-AO) is an extension of the neutrosophic probabilistic hesitant fuzzy rough set theory. It is a powerful decision-making tool that combines the
Externí odkaz:
https://doaj.org/article/3d251180b07a48f097adcd7194422f20
Autor:
Esmail Hassan Abdullatif Al-Sabri, Muhammad Rahim, Fazli Amin, Rashad Ismail, Salma Khan, Agaeb Mahal Alanzi, Hamiden Abd El-Wahed Khalifa
Publikováno v:
AIMS Mathematics, Vol 8, Iss 7, Pp 16961-16988 (2023)
Pythagorean cubic fuzzy sets (PCFSs) are a more advanced version of interval-valued Pythagorean fuzzy sets where membership and non-membership are depicted using cubic sets. These sets offer a greater amount of data to handle uncertainties in the inf
Externí odkaz:
https://doaj.org/article/0b96b833d87c40f4a82daf70edf7307c
Autor:
Muhammad Danish Zia, Esmail Hassan Abdullatif Al-Sabri, Faisal Yousafzai, Murad-ul-Islam Khan, Rashad Ismail, Mohammed M. Khalaf
Publikováno v:
AIMS Mathematics, Vol 8, Iss 6, Pp 14449-14474 (2023)
During the COVID-19 pandemic, identifying face masks with artificial intelligence was a crucial challenge for decision support systems. To address this challenge, we propose a quadratic Diophantine fuzzy decision-making model to rank artificial intel
Externí odkaz:
https://doaj.org/article/9091836b2bbe48ada66e94e92cc370d0
Autor:
Muhammad Imran, Rashad Ismail, Muhammad Azeem, Muhammad Kamran Jamil, Esmail Hassan Abdullatif Al-Sabri
Publikováno v:
Heliyon, Vol 9, Iss 10, Pp e20600- (2023)
Euclidean geometry is utilized to establish the Sombor graph parameter and its invariants. It is sum of all adjacent vertices in graph theory dϒ2+dΓ2 where dϒ is the degree of the vertex ϒ. Geometrical interpretation is used to describe the new S
Externí odkaz:
https://doaj.org/article/8fb7dacc214b41f9a94fe2b2d241c41b
Autor:
Faisal Yousafzai, Muhammad Danish Zia, Mohammed M. Khalaf, Esmail Hassan Abdullatif Al-Sabri, Rashad Ismail
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2023 (2023)
In this paper, we investigated the notion of a linear Diophantine fuzzy set (LDFS) by using the concept of a score function to build the LDF-score left (right) ideals and LDF-score (0,2)-ideals in an AG-groupoid. We used these newly developed LDF-sco
Externí odkaz:
https://doaj.org/article/2d5cbaa4b41741c28e3a0fbfdf15c9de
Autor:
Rashad Ismail, Sami Ullah Khan, Samer Al Ghour, Esmail Hassan Abdullatif Al-Sabri, Maha Mohammed Saeed Mohammed, Shoukat Hussain, Fiaz Hussain, Giorgio Nordo, Arif Mehmood
Publikováno v:
Symmetry, Vol 15, Iss 5, p 1044 (2023)
The notion of fuzzy graph (FG) is widely used in many problems arising from partial or incomplete descriptions of the real world and in particular from fields such as engineering, economics, computer science, social disciplines, or medical diagnostic
Externí odkaz:
https://doaj.org/article/76e58cbfa1b84decae121e249500a3f4
Autor:
Sami Ullah Khan, Esmail Hassan Abdullatif Al-Sabri, Rashad Ismail, Maha Mohammed Saeed Mohammed, Shoukat Hussain, Arif Mehmood
Publikováno v:
Symmetry, Vol 15, Iss 3, p 577 (2023)
A computer vision model known as a generative adversarial network (GAN) creates all the visuals, including images, movies, and sounds. One of the most well-known subfields of deep learning and machine learning is generative adversarial networks. It i
Externí odkaz:
https://doaj.org/article/19fd06d18257448296d947b7ad234437
Autor:
Muhammad Kamran, Rashad Ismail, Esmail Hassan Abdullatif Al-Sabri, Nadeem Salamat, Muhammad Farman, Shahzaib Ashraf
Publikováno v:
Symmetry, Vol 15, Iss 3, p 578 (2023)
In this research, we first offer unique notions of averaging and geometric aggregation operators with confidence level by employing a probabilistic neutrosophic hesitant fuzzy rough framework. Then, we look into other descriptions of the suggested op
Externí odkaz:
https://doaj.org/article/a095ea686c7f419894f7ee2192ddbced
Autor:
Muhammad Shazib Hameed, Esmail Hassan Abdullatif Al-Sabri, Zaheer Ahmad, Shahbaz Ali, Muhammad Usman Ghani
Publikováno v:
Symmetry, Vol 15, Iss 1, p 247 (2023)
The use of a single-valued neutrosophic set (svns) makes it much easier to manage situations in which one must deal with incorrect, unexpected, susceptible, faulty, vulnerable, and complicated information. This is a result of the fact that the specif
Externí odkaz:
https://doaj.org/article/a5d79a3817db48c4a019e214fcd90eec