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Toplam kayıt 40, listelenen: 1-10
Görüntü Bölütleme Yöntemlerinin Karşilaştirilmasi
(Institute of Electrical and Electronics Engineers Inc., 2019)
Image segmentation is an important image processing method. The segmentation method, which is a process of dividing into different regions, is a meaningful according to certain features of the image. In this paper, histogram ...
Effect of non-Gaussian noise and primary user traffic on detection performance in cognitive radio [Bilissel Radyoda Gauss Olmayan Gürültünün ve Birincil Kullanici Trafi?inin Algilama B?sarimina Etkisi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, for channels containing primary user traffic, we investigate how non-Gaussian noise model affects detection performance in cognitive radio. As decision statistic, energy detector has been preferred by ...
Performance analysis of rule based automatic SNN algorithm on big data sets [Kural tabanli otomatik SNN algoritmasinin büyük veri setleri üzerindeki performans incelemesi]
(Institute of Electrical and Electronics Engineers Inc., 2018)
Clustering is defined as the classification of patterns into groups (clusters) without supervision. The clustering of similarities of data is a complex process that can not be done with human hands. There are various ...
Convolution kernel size effect on convolutional neural network in histopathological image processing applications
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, the change in the classification success of the convolutional neural network (CNN) is investigated when the dimensions of the convolution window are altered. For this purpose, four different linear convolution ...
Weighting and classification of image features using optimization algorithms
(Institute of Electrical and Electronics Engineers Inc., 2018)
In this study, importance ratios of features extracted from images using feature extraction algorithms are examined. A significance coefficient is determined for each feature parameter. The number of features is reduced ...
A new pseudo random number generator based on Chebyshev maps and parameter switching
(Institute of Electrical and Electronics Engineers Inc., 2018)
Digital implementations of chaotic systems are periodic and they are degraded versions of the original chaotic system. Hence, all digital pseudo random number generators based on chaotic systems inherently contain several ...
Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA
(Elsevier B.V., 2018)
Classification of histopathologic images and identification of cancerous areas is quite challenging due to image background complexity and resolution. The difference between normal tissue and cancerous tissue is very small ...
Effects of Histopathological Image Pre-processing on Convolutional Neural Networks
(Elsevier B.V., 2018)
In this study, classification performance of histopathological images which are processed by pre-processing algorithms using convolutional neural network structure is examined. The images are divided into four different ...
A combined usage of SDBR and SVC to improve the transient stability performance of a PV/wind generation system [SDFD ve SVK Cihazlarinin Birlikte Kullanimi ile Hibrit Bir FV/Rüzgâr Enerji Üretim Sisteminin Geçici Kararlilik Performansinin Arttirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2017)
Recently, power system stability issue has gained popularity with wind and solar energy systems beginning to effective on power systems. Faults occurring at the grid cause effective voltage drops at the output of the hybrid ...
Analysis of electricity price in the Turkish domestic energy market
(Institute of Electrical and Electronics Engineers Inc., 2016)
Market participants across the variable electricity prices seek new ways to give an idea for operation planning in the future. Since the day-ahead market regulation met with Turkey's electricity market in 2011, electricity ...