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Toplam kayıt 20, listelenen: 1-10
Effects of culture on distance learning in higher education in the light of digital divide and multicultural: Curriculum and design strategies
(IEEE, 2012)
This paper examines the challenges faced by students who do not belong to the majority culture served by their school. Two related topics will be discussed in the study. The first topic is the situational and dispositional ...
Automated Segmentation of the Injured Liver
(IEEE, 2015)
A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. ...
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 ...
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 ...
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. ...
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 ...
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 ...
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 ...
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 ...