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1

  • HEART RATE SIGNAL CLASSIFICATION BY SMO ALGORÄ°THM



Kenan Zengin, Cengiz Güngör, Necmi Eşgi

Abstract:
In this paper we classified heart rate signals using the WEKA data mining software developed by machine learning group at the University of Waikato. We use SMO (Sequential Minimal Optimization For Training Support Vector Machines) to classify heart rate signals.


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2

  • GENERALIZED DOUBLE SEQUENCE SPACE DERIVED BY USING SUMMABILITY MATRIX AND DOUBLE SEQUENCE OF MODULUS FUNCTIONS OVER n-NORMED SPACES



Ado Balili, Ahmadu Kiltho

Abstract:
In this paper, we introduce some double sequence spaces derived by using four dimensional summability matrix and double sequence of modulus functions ℳ=(𝑀𝑘𝑙) over n-normed spaces, We study some topological properties and a few inclusion relations between these spaces.


6-19
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