Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Samar Wazir"'
Publikováno v:
Journal of Inequalities and Applications, Vol 2019, Iss 1, Pp 1-11 (2019)
Abstract In the present manuscript, we define a non-negative parametric variant of Baskakov–Durrmeyer operators to study the convergence of Lebesgue measurable functions and introduce these as α-Baskakov–Durrmeyer operators. We study the uniform
Externí odkaz:
https://doaj.org/article/8398f263363c480cb85efdab816546f5
Publikováno v:
Informatics in Medicine Unlocked, Vol 26, Iss , Pp 100761- (2021)
Contagious diseases and their impacts can be modulated to a higher extent by implementing proper mathematical or statistical models that comprehend connectivity and the spreading patterns among populations. An approach has been presented throughout t
Externí odkaz:
https://doaj.org/article/96dc2127eca849e7bafb3fc4ef5c577d
Publikováno v:
International Journal of Information Technology. 15:2317-2327
Publikováno v:
International Journal of Information Technology. 14:3757-3766
Publikováno v:
Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India.
Publikováno v:
Multimedia Tools and Applications. 81:36685-36698
There have been considerable advancements in multimedia technologies over the past 5 years. It has been observed that state-of-the-art multimedia systems face three broad categories of challenges: (1) Dependency on continuous network connections, (2)
Autor:
Ashutosh Bahuguna, Samar Wazir
Publikováno v:
ICT with Intelligent Applications ISBN: 9789811935701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::716e2391e9a15097b4c0a2fd2540c792
https://doi.org/10.1007/978-981-19-3571-8_43
https://doi.org/10.1007/978-981-19-3571-8_43
Publikováno v:
Vehicular Ad Hoc Networks ISBN: 9781003156789
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70fac0d1e05204fca7c2e97605dd85c9
https://doi.org/10.1201/9781003156789-10
https://doi.org/10.1201/9781003156789-10
Publikováno v:
SN Computer Science. 3
Frequent Itemset Mining (FIM) includes developing data mining algorithms to discover interesting and productive patterns from a variety of databases. There are several FIM algorithms available, but their use can be different and depend on two major f
Publikováno v:
International Journal of Information Technology. 12:1205-1216
The mechanism of Frequent Itemset Mining can be performed by using sequential algorithms like Apriori on a standalone system, or it can be applied using parallel algorithms like Count Distribution on a distributed system. Due to communication overhea