On deferred I-statistical rough convergence of difference sequences in neutrosophic normed spaces [PDF]
Neutrosophic Sets and SystemsIn this study, using the concepts of deferred density and the notion of the ideal I, we extend the idea of rough convergence by introducing the notion of deferred I–statistical rough convergence via difference operators in the framework of neutrosophic ...
Mukhtar Ahmad +2 more
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Generalized Double Statistical Convergence Sequences on Ideals in Neutrosophic Normed Spaces
Neutrosophic Systems with Applications, 2023 In this present research, having view in the Neutrosophic norm (u, v, w), which we presented I2-lacunary statistical convergence and I2-lacunary convergence strongly, looked into interactions between them, and made a few findings regarding the respective categories.
Jeyaraman M., Iswariya S., Pandiselvi R.
openaire +2 more sources
The Cesaro Lacunary Ideal Double Sequence Ⲭ2− of φ− Statistical Defined by a Musielak-Orlicz Function [PDF]
, 2016 In this paper we introduce some definitions which are the natural combination of the definition of asymptotic equivalence, statistical convergence, f−statistical convergence of Musielak Orlicz function and ideal.
Priya, C. +2 more
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Improving Bundle Routing in a Space DTN by Approximating the Transmission Time of the Reliable LTP
Network, 2023 Because the operation of space networks is carefully planned, it is possible to predict future contact opportunities from link budget analysis using the anticipated positions of the nodes over time.
Ricardo Lent
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Identification and Analysis of Influential Factors in Good Rural Governance (Case Study: Ardabil County) [PDF]
برنامه ریزی فضایی, 2022 Problem definition: Rural governance is a new process in the rural management system, which has different principles, criteria, and indicators, as well as many players in the rural field.Purpose: The present study was conducted with the aim of ...
Kiumarth Khodapanah
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Experimental Evaluation and Analysis of Federated Learning in Edge Computing Environments
IEEE Access, 2023 Federated learning (FL) is a machine learning system that allows a network of devices to train a model without centralized data. This characteristic makes FL an ideal choice for machine learning using user data while maintaining privacy.
Pham Khanh Quan +2 more
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Orlicz–Pettis Theorem through Summability Methods
Mathematics, 2019 This paper unifies several versions of the Orlicz−Pettis theorem that incorporate summability methods. We show that a series is unconditionally convergent if and only if the series is weakly subseries convergent with respect to a regular linear ...
Fernando León-Saavedra +2 more
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Rates of Ideal Convergence for Approximation Operators
, 2010 In this paper, we study a general Korovkin-type approximation theory by using the notion of ideal convergence which includes many convergence methods, such as, the usual convergence, statistical convergence, A-statistical convergence, etc.
Duman, Oktay +3 more
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Ideal convergence in fuzzy metric spaces
, 2022 Bu tez çalışmasında, ilk olarak, reel sayı dizilerinde istatistiksel yakınsaklık, metrik uzaylarda ideal yakınsaklık ve bulanık metrik uzaylarda istatistiksel yakınsaklık kavramları sunuldu.
Karabacak, Gökay
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Some generalized convergence types of order ? [PDF]
, 2022 Bu tez çalışmasında ilk olarak, reel sayı dizilerinde istatistiksel yakınsaklık, metrik uzaylarda ideal yakınsaklık ve normlu uzaylarda kaba yakınsaklık kavramları sunuldu.
Bulut, Sevcan
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