Yayın tarihi için Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering listeleme
Toplam kayıt 101, listelenen: 21-40
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Performance analysis of GLCM-based classification on Wavelet Transform-compressed fingerprint images
(IEEE, 2016)Fingerprint detection is one of the primary methods for identifying individuals. Gray Level Co-occurrence Matrix (GLCM) is the oldest and prominent statistical textual feature extraction method applied in many fields for ... -
Yaralanmış karaciğer bölütlemesi için sağ batın bölge sınırının belirlenmesi
(IEEE, 2016)Acil servise getirilen travmalı hastalar için acil operasyon ihtiyacının otomatik belirlenmesi hasta yönetimine hız kazandırma açısından oldukça önemlidir. Bu çalışmada batın içi travmalar sonucunda hacmi ve lokasyonu ... -
The Impact on the Classification Performance of the Combined Use of Different Classification Methods and Different Ensemble Algorithms in Chronic Kidney Disease Detection
(IEEE, 2016)The aim of this study is to compare the performance assessment results of the different classification methods and ensemble algorithms for the detection of chronic kidney disease. Six different basic classifier (naive ... -
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 ... -
İnternet Bankacılığında Yatırım Ürünlerinin Kişisel Yatırımları Artırmaya Etkisi Ve Türkiye’de İnternet Bankacılığı Üzerine Bir İnceleme
(2017)Çalışmada yatırım ürünleri ile internet bankacılığı ilişkisini kurmaya çalışmaktadır. Bununla birlikte teknoloji düzeyinin yatırımlara etkisi incelenmiş, yeni teknolojilere örnek verilmiş, ileri teknoloji ve algoritmalar ... -
Robot Localization with Monte Carlo Method
(IEEE, 2017)This report describes the Monte Carlo approach to the localization of a robot or autonomous system. Localization in robot or autonomous systems is the problem of position determination using sensor data. The Monte Carlo ... -
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 ... -
A novel hybrid approach for sentiment classification of Turkish tweets for GSM operators
(North Atlantic University Union, 2018)The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly, in recent years, researchers have been working extensively on sentiment ... -
Serviks Kanserinin Erken Teşhisi için Çok Katmanlı Sitoloji Küplerinde Çekirdek ve Sitoplazma Bölütlenmesi
(Süleyman Demirel Üniversitesi, 2018)Özet: Dünya genelinde kadınlarda yaygın olarak görülen ve kanser ölümlerinin önde gelen nedenlerinden biri olan serviks kanseri, Pap smear testi sonucunda elde edilen görüntülerdeki hücre sayısı, şekli ve özelliklerinden ... -
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 ... -
Potential biomarker of circulating hsa-miR-1273g-3p level for detection of recurrent epithelial ovarian cancer
(Springer, 2018-12)PurposeOvarian cancer (OC) is first gynaecologic cancer that causes women death and epithelial ovarian cancer (EOC) is the most lethal ovarian cancer type. While treatment is commonly successful, some cases (10-20%) show ... -
Information retrieval using the reduced row echelon form of a term-document matrix
(Taiwan Academic Network Management Committee, 2019)It is getting more difficult to retrieve relevant information regarding the user input query due to the large amount of information in the web. Unlike the conventional information retrieval (IR) algorithms, this study ... -
Zıt mevsim video uyaranlarına karşı ölçülen beyin elektriksel dinamiklerinin sınıflandırılması
(Institute of Electrical and Electronics Engineers Inc., 2019)In this study, it was aimed to classify the electrical signals recorded from human brain during different season (summer-winter) videos as stimuli. Data have been recorded using 14 channels EEG from four male participants. ... -
DLGBD: A directional local gradient based descriptor for face recognition
(Springer, 2019)This paper proposes a novel high-performance gradient-based local descriptor that handles the prominent challenges of face recognition such as resistance against rotational, illuminative changes as well as noise effects. ... -
Novel multispectral face descriptor using orthogonal walsh codes
(Inst Engineering Technology, 2019)This paper proposes a novel high-performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors ... -
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 ... -
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 ... -
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) ...