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Study on the hydraulic action mechanism and support measures of weakly cemented muddy surrounding rock. [PDF]
Sci RepZaijiang Y +6 more
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Sustainable supply chain management using Bi-GRU network optimized by hybrid maritime search and rescue algorithm. [PDF]
Sci RepLi Z.
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Hyperparameter Optimization of Convolutional Neural Networks for Robust Tumor Image Classification. [PDF]
Diagnostics (Basel)Hussain SM +4 more
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Artificial Intelligence Based Clustering Algorithm for Pulse Diagnosis. [PDF]
J Multidiscip HealthcKim J +7 more
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Numerical Functional Analysis and Optimization, 2008
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
exaly +4 more sources
In this work, using the concept of natural density, we introduce the notion of rough statistical convergence. We define the set of rough statistical limit points of a sequence and obtain two statistical convergence criteria associated with this set. Later, we prove that this set is closed and convex. Finally, we examine the relations between the set of
Salih Aytar
exaly +4 more sources
On Rough Convergence of Complex Uncertain Sequences
Journal of Uncertain Systems, 2021Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. The main purpose of this paper is to introduce rough convergence of complex uncertain sequences and study some convergence concepts namely rough convergence in measure, rough convergence in ...
Shyamal Debnath, Bijoy Das
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On rough I-statistical φ-convergence
2023In this paper, we introduce the concept of rough I-statistical ?-convergence of real numbers as a generalization of rough statistical convergence as well as I-statistical ?-convergence. We study some of its fundamental properties. We obtain some results for rough I-statistical ?-convergence by introducing the rough I-statistical-? limit set.
Kı?şı?, Ömer, Gürdal, Mehmet
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Mathematica Slovaca, 2019
AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
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AbstractIn this paper we introduce rough weighted statistical limit set and weighted statistical cluster points set which are natural generalizations of rough statistical limit set and statistical cluster points set of double sequences respectively. Some new examples are constructed to ensure the deviation of basic results.
Sanjoy Ghosal
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On rough convergence in amenable semigroups and some properties
Journal of Intelligent & Fuzzy Systems, 2021The authors of the present paper, firstly, investigated relations between the notions of rough convergence and classical convergence, and studied on some properties of the rough convergence notion which the set of rough limit points and rough cluster points of a sequence of functions defined on amenable semigroups. Then, they examined the dependence of
Dündar, Erdinç, Ulusu, Uğur
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On Rough Statistical Convergence of Complex Uncertain Sequences
New Mathematics and Natural Computation, 2021Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. The main purpose of this paper is to introduce rough statistical convergence of complex uncertain sequences and study some convergence concepts namely rough statistical convergence in measure,
Shyamal Debnath, Bijoy Das
openaire +1 more source