Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Agha Kashif"'
Publikováno v:
IEEE Access, Vol 12, Pp 37513-37520 (2024)
Fractional versions of metric related parameters have been introduced as an equivalent to solve linear optimization problems which have applications in various fields like computer science and chemistry. The understanding and analysis of various para
Externí odkaz:
https://doaj.org/article/ae57d87fef714e438bacb4e7ac1dce60
Publikováno v:
IEEE Access, Vol 12, Pp 18021-18027 (2024)
The robustness of the networks is their capacity to remain operational in the presence of faults and disruptions, and thereby it is an important tool to provide data transmission in telecommunications networks such as wireless networks, enterprise ne
Externí odkaz:
https://doaj.org/article/e51cdc8da5ab4c398e549a5e6319bc5e
Publikováno v:
IEEE Access, Vol 11, Pp 21345-21353 (2023)
Neural networks are mathematical models that use learning algorithms inspired by the brain to store information. These networks have been extensively used to operate cognitive functions, robustness, fault tolerance, flexibility, collective computatio
Externí odkaz:
https://doaj.org/article/231b17f001fe49df9dc5d335df7e74c0
Publikováno v:
IEEE Access, Vol 10, Pp 71521-71529 (2022)
Fault-tolerance of a system measures its working capability in the presence of faulty components in the system. The fault-tolerant partition dimension of a network computes the least number of subcomponents of network required to distinctively identi
Externí odkaz:
https://doaj.org/article/2fe5aeab0e4e4d45bb36b897c89431b4
Publikováno v:
Complexity, Vol 2023 (2023)
Fractional variants of distance-based parameters have application in the fields of sensor networking, robot navigation, and integer programming problems. Complex networks are exceptional networks which exhibit significant topological features and hav
Externí odkaz:
https://doaj.org/article/db4b7eed33e04487862201a4b373cb80
Publikováno v:
IEEE Access, Vol 9, Pp 159326-159333 (2021)
Fractional versions of metric based networks invariants widen the scope of application in fields of intelligent systems, computer science and chemistry including, robot navigation, sensor networking, linear optimization problems, scheduling, assignme
Externí odkaz:
https://doaj.org/article/0eba56f03e394546836996c6d4a555fc
Publikováno v:
Neutrosophic Sets and Systems, Vol 35, Pp 547-562 (2020)
The multiple criteria decision making (MCDM) problems indicate the alternatives which have more or less resemblance to each other. An important mathematical tool used by decision-makers (DMs) to quantify these resemblances is the similarity measure
Externí odkaz:
https://doaj.org/article/4291245def574419b146b10fac953363
Publikováno v:
Journal of Chemistry, Vol 2022 (2022)
A topological index is a numerical quantity associated with the molecular structure of a chemical compound. This number remains fixed with respect to the symmetry of a molecular graph. Diverse research studies have shown that the topological indices
Externí odkaz:
https://doaj.org/article/7b828f28355f4f84bd3bf89cd1d2ff6c
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9558 (2022)
The concept of metric-related parameters permeates all of graph theory and plays an important role in diverse networks, such as social networks, computer networks, biological networks and neural networks. The graph parameters include an incredible to
Externí odkaz:
https://doaj.org/article/7bbc4e897c124e3396035f0e81799720
Publikováno v:
Symmetry, Vol 14, Iss 8, p 1740 (2022)
The symmetry of an interconnection network plays a key role in defining the functioning of a system involving multiprocessors where thousands of processor-memory pairs known as processing nodes are connected. Addressing the processing nodes helps to
Externí odkaz:
https://doaj.org/article/070f5ce6f7694e99b88c701209c6c54b