Bilgisayar Teknolojileri

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ON THE TWO PARAMETER MOTIONS IN THE COMPLEX PLANE

Ünal, Doğan; Çelik, Muhsin; Güngör, Mehmet Ali (UNIV POLITEHNICA BUCHAREST, SCI BULL, 2015)

In this article, we investigate two-parameter motions in the complex plane. Also, we refer to some definitions, theorems and corollaries related to velocities, accelerations, poles and hodograph of a point in the complex ...
Multi-DGAS: A pattern based educational framework design for power transformers faults interpretation and comparative performance analysis

Varan, Metin; Yurtsever, Ulaş (WILEY, 2018)

Taking necessary measures in advance for early prediction of the transformer failures are very crucial. Dissolved gas in oil analysis (DGA) techniques that used in electrical power systems has become an internationally ...
Fast artificial neural network (FANN) modeling of Cd(II) ions removal by valonia resin

Yurtsever, Ulaş; Yurtsever, Meral; Şengil, İsmail Ayhan; Kıratlı Yılmazçoban, Nursel (DESALINATION PUBL, 2015)

In the existing research, firstly, Cd adsorption properties and kinetics were studied on valonia tannin resin (VTR) from aqueous solutions at optimized process parameters such as temperature, pH of solution, initial ion ...
Use of a convolutional neural network for the classification of microbeads in urban wastewater

Yurtsever, Meral; Yurtsever, Ulaş (PERGAMON-ELSEVIER SCIENCE LTD, 2019)

Scientists are on the lookout for a practical model that can serve as a standard for sorting out, identifying, and characterizing microplastics which are common occurrences in water sources and wastewaters. The microbeads ...
The use of output-dependent data scaling with artificial neural networks and multilinear regression for modeling of ciprofloxacin removal from aqueous solution

Yurtsever, Ulaş; Esra Can Dogan; Nevim Genc (IWA PUBLISHING, 2017)

In this study, an experimental system entailing ciprofloxacin hydrochloride (CIP) removal from aqueous solution is modeled by using artificial neural networks (ANNs). For modeling of CIP removal from aqueous solution using ...
A New Augmented K-Means Algorithm for Seed Segmentation in Microscopic Images of the Colon Cancer

Yurtsever, Ulaş; Evirgen, Hayrettin; Prof.Dr. Mustafa Cihat Avunduk (UNIV OSIJEK, TECH FAC, 2018)

In this study, we analyze histologic human colon tissue images that we captured with a camera-mounted microscope. We propose the Augmented K-Means Clustering algorithm as a method of segmenting cell nuclei in such colon ...