Tür "conferenceObject" Scopus İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 40, listelenen: 1-20
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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 ... -
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 ... -
An Application of Schwarz Lemma for Analytic Functions in the Unit Disc
(American Institute of Physics Inc., 2022)The aim of this paper is to introduce the class of the analytic functions called P and to investigate the various properties of the functions belonging this class. We present a different version of Schwarz Lemma and some ... -
Best Proximity Point Result on b-Metric Spaces
(American Institute of Physics Inc., 2022)In this paper, we introduce a concept of proximal Karapinar type nonunique contraction mapping. Then, we prove a best proximity point result for such mappings. Thus, we generalize some results existing in the literature. ... -
Classification of mammograms using multi layer neural network [Çok katmanli sinir a?i kullanarak mamogramlarin siniflandirilmasi]
(2010)Breast cancer is the most common cancer among women and the leading cause of cancer deaths in women. Mammography plays a major role in the early detection of breast cancer. In this study computer aided detection (CAD) ... -
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 ... -
Comparison of Current Convolutional Neural Network Architectures for Classification of Damaged and Undamaged Cars
(Springer Science and Business Media Deutschland GmbH, 2022)Deep learning algorithms, one of the most popular topics of recent years, are frequently encountered in many areas. One of these areas is traffic. Many applications such as vehicle identification and damage detection using ... -
Contributing to sustainability through translation in governing the anthropocene
(International Society for the Systems Sciences (ISSS), 2015)There are many factors that contribute to changes in the Earth's system, one of which is humanity. Due to the loss of habitat related to human activities, slightly less than a quarter of Earth's terrestrial biomes are ... -
A Contribution to Best Proximity Point Theory via Some New Concepts
(American Institute of Physics Inc., 2022)In this paper, taking into account the concepts of startpoint and endpoint we introduce two new definitions including these concepts. Then, we show the relationship between a best proximity point and our new notions with ... -
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 ... -
Convolutional neural network based dictionary learning to create hash codes for content-based image retrieval
(Elsevier Science Bv, 2021)This study investigates the suitability of sparse vectors in the dictionary learning (DL) method for content-based image retrieval (CBIR) tasks. Since DL usually performs the learning process in an unsupervised manner, it ... -
Coronavirus (Covid-19) classification using CT images by machine learning methods
(CEUR-WS, 2021)This study detected the Coronavirus (COVID-19) disease by implementing artificial learning methods. Coronavirus disease occurs in the lungs and can cause death. The detection process was performed on chest Computed Tomography ... -
Design and optimization of axial flux permanent magnet synchronous machines using Taguchi approach
(2009)In this study, an axial flux permanent magnet synchronous machine has been optimized for design using the Taguchi method. Five factors have been selected for optimizing , each of which has four levels. A total of sixteen ... -
Detailed Investigation and Comparison of Various Binarization Algorithms for Hashing
(Institute of Electrical and Electronics Engineers Inc., 2021)The fact that the number of images stored continues to increase day by day makes content-based image retrieval (CBIR) systems more important. Considering that almost all of the datasets encountered today are large, it is ... -
EDIBLE FILM PRODUCTION WITH ALOE VERA EXTRACT AND ITS PRINTABILITY
(University of Novi Sad - Faculty of Technical Sciences, Department of Graphic Engineering and Design, 2022)The main concern with protecting fruits and vegetables from bacterial infection and growth is ensuring product quality and safety. Hydroxyethyl cellulose, with –OH in the natural cellulose molecule substituted by a ... -
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 ... -
Effects of dimension reduction in mammograms classification
(IEEE Computer Society, 2013)Breast cancer is the most common type of cancer among women and causing deaths in women. In this paper, a CAD system is presented to investigate effects of dimension reduction for classifying mammograms. Proposed system ... -
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 ... -
AN EVALUATION OF STATISTICS LESSONS AT SECONDARY SCHOOL WITH REGARD TO GAISE REPORT-II.
(Psychology of Mathematics Education (PME), 2023)[No abstract available] -
Evaluation of waste in seismic metamaterial applications
(EDP Sciences, 2023)Within the scope of this study, a simulation study was carried out in order to prove the usability of waste in seismic metamaterial studies. In the study, a square array field application was preferred, and a 3-layer ...