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Toplam kayıt 127, listelenen: 11-20
Detection of disturbances in energy system signals using gaussian distribution fitness test [Enerji Sisitemi Sinyallerinde Bozucularin Gauss Dagilim Uyumlulugu Testi ile Tespiti]
(2004)
In this work, a method based on higher order statistics (HOS) is proposed to detect disturbances in energy system voltage and current waveforms due to faults and various system events. During the normal operation of the ...
Classification of Medical Documents According to Diseases
(IEEE, 2015)
Medical text classification is still one of the popular research problems inside text classification domain. Apart from some text data compiled from hospital records, most of the researchers in this field evaluate their ...
The Next Generation of Skin AntiAging Dermacosmetic Products
(Ortadogu Ad Pres & Publ Co, 2008)
Among the visible changes frequently seen in aged skin are roughness in skin surface, widening of pores, sagging with wrinkling, excess skin on eye lids, downward Mouth, double chin, color changes such as paling, darkening ...
The Comparison of A* Algorithm and Ant Colonial Optimization for Mobile Traveler Application
(IEEE, 2015)
In this paper, a route planning application has been developed for mobile devices. The goal was to select the algorithm that computes the route in the shortest amount of time. To this end, a database containing information ...
A Sparse Approach for the Presence Detection of Long-code DS-SS Signals
(IEEE, 2015)
In this paper, the presence detection of long-code direct sequence spread spectrum signals (DS-SS) in low signal to noise ratio (SNR) using the sensor array are considered. A sparse method, which is fast and computationally ...
The Rol of Strategic Human Resource Management in the Aviation Industry: Achieving Sustainable Competitive Advantage
(Int Organization Center Acad Research, 2016)
This study deals with Strategic Human Resource Management Approach which is used to obtain competitive advantage from human resources. This approach is critical to aviation industry as competition is intense because of ...
HEp-2 Cell Classification using a Deep Neural Network Trained for Natural Image Classification
(IEEE, 2016)
Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ...
A novel feature vector consisting of Ar-Ma model parameters for motor fault classification
(IEEE, 2006)
In this work, AR-MA parameters corresponding to zeros and poles of the z-plane model are extracted from the sampled current waveform spectra, and considered as elements of a feature vector to classify faulty motors. The ...
On the orthogonality of block wavelet transforms
(IEEE, 2006)
In this paper, orthogonality of Block Wavelet Transforms (BWT) is shown. First the orthogonality of one-stage and two-stage Block Wavelet Transforms is shown, then the result is generalized for multi-stage Block Wavelet Transform.
A Motion Adaptive Wavelet-Denoising for Frame-Rate Up-Conversion
(IEEE, 2016)
This study introduces a method that employs a wavelet zerotree-based shrinkage algorithm motion-adaptively-combined with optical flow estimation for video frame rate up-conversion. In the method, an optical flow estimation ...