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Toplam kayıt 46, listelenen: 31-40
Effect of derivative action on back-propagation algorithms
(Springer Verlag, 2019)
Multilayer neural networks using supervised training try to minimize the error between a given correct answer and the ones produced by the network. The weights in the neural network are adjusted at each iteration and after ...
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) ...
Karaciğer görüntülerinin geometrik dönüşüm yöntemleri kullanılarak benzerliklerinin değerlendirilmesi
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this study, similarity rates of the liver images are determined using 3D geometric transformation methods and numerical comparisons are made. Three geometric transformation methods scaling, rotating, and translating are ...
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 ...
A Survey of Product Recognition in Shelf Images
(IEEE, 2017)
Nowadays, merchandising is one of the significant method which allows to increase the sales. Therefore, activities such as monitoring the number of products on the shelves, completing the missing products and matching the ...
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 ...
Gendered differentiated communication & educational characteristics in online technologies at undergraduate, MA or Doctorate degrees
(2012)
In this study one of the most important approaches will be: it is so open that online learning has different effects on male and female students; also it has various effects on male and female faculty members. This paper ...
Segmenting Customers with Data Mining Techniques
(IEEE, 2015)
Retail marketers are constantly looking for ways to improve the effectiveness of their campaigns. One way to do this is to target customers with the particular offers most likely to attract them back to the store and to ...
A Joint Design of User Modeling and Resource Management in Cognitive Radio Networks
(IEEE Computer Society, 2019)
The limited available spectrum and inefficient spectrum utilization make it necessary to employ dynamic spectrum access techniques. The key enabling technology for dynamic spectrum access is cognitive radio (CR), which ...