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Toplam kayıt 20, listelenen: 11-20
On approximation process by certain modified Dunkl generalization of Szasz-Beta type operators
(Journal Mathematics & Computer Science, 2019)
In this paper, we give a generalization of the Szasz-Beta type operators generated by Dunkl generalization of exponential function and obtain convergence properties of these operators by using Korovkin's theorem and weighted ...
Informatics education in different disciplines at university level case study: a survey of students' attitude toward informatics technologies
(2011)
This article presents a quantitative study on attitudes toward the usage of Information Technology related tools and applications. The study was conducted at a private university, Turkey, with 97 female and 113 male students ...
I-GWO and Ex-GWO: improved algorithms of the Grey Wolf Optimizer to solve global optimization problems
(Springer London, 2019)
In this paper, two novel meta-heuristic algorithms are introduced to solve global optimization problems inspired by the Grey Wolf Optimizer (GWO) algorithm. In the GWO algorithm, wolves are likely to be located in regions ...
RIMFRA: Rotation-invariant multi-spectral facial recognition approach by using orthogonal polynomials
(Springer New York LLC, 2019)
This paper proposes a novel rotation-invariant multi-spectral facial recognition approach (RIMFRA) by using orthogonal polynomials. In the first step, a rotation, illumination and noise invariant local descriptor (RinLd) ...
Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna
(WILEY, 2019)
The relations between the antennas' geometrical parameters and design specifications usually consist of linear and nonlinear components. Especially with the increase of the requested performance measures, the design procedure ...
Designing a dynamic protocol for real-time Industrial Internet of Things-based applications by efficient management of system resources
(SAGE Publications Inc., 2019)
Wireless sensor networks have gained the attention of researchers from various fields due to increased applicability. This has thus led to rapid development in the field. However, these networks still suffer from various ...
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
(Springer, 2012)
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ...
FACE RECOGNITION BY GREY-LEVEL CO-OCCURRENCE MATRICES IN HEXAGONAL DIGITAL IMAGE PROCESSING
(ASOS Eğitim Bilişim Danışmanlık Otomasyon Yayıncılık Reklam Sanayi ve Ticaret LTD ŞTİ, 2019)
Face Recognition has been an attractive field of research fordecades, because face is one of the most useful and deterministicbiometrics. Image processing is called square pixel-based imageprocessing since its existence. ...
Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü, 2018)
Although there are various studies on anomaly detection, effective and simple anomaly detection
approaches are necessary as the inadequacy of appropriate ways for substantial network environments. In
the existing analysis ...
A Mixed Integer Linear Program for Election Campaign Optimization Under D'Hondt Rule
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018)
Election campaign optimization problem (ECOP) can be described as finding the best way to allocate a political party’s resources among different election locations in order to maximize the seats or member of parliaments ...