Onur Tolga Şehitoğlu

E-mail

onur@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0001-5146-5017

Scopus Author ID

6505734342

Programming with Python for Engineers Kalkan, Sinan; Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (Springer Nature, 2024-08-01)
Short-term trend prediction in financial time series data Ozorhan, Mustafa Onur; Toroslu, İsmail Hakkı; Şehitoğlu, Onur Tolga (Springer Science and Business Media LLC, 2019-10-01) This paper presents a method to predict short-term trends in financial time series data found in the foreign exchange market. Trends in the Forex market appear with similar chart patterns. We approach the chart patterns in...
A parallel aerostructural shape optimization platform for airplane wings Oktay, Erdal; Arpacı, Anıl; Şehitoğlu, Onur Tolga; Akay, Hasan Umur (null; 2019-05-17) A parallel design platform is developed for aerostructural shape optimization of airplane wings. The developed tools consist of a panel method-based aerodynamic solver, a finite element-based structural solver, geometry an...
A strength-biased prediction model for forecasting exchange rates using support vector machines and genetic algorithms Ozorhan, Mustafa Onur; Toroslu, İsmail Hakkı; Şehitoğlu, Onur Tolga (2017-11-01) This paper addresses problem of predicting direction and magnitude of movement of currency pairs in the foreign exchange market. The study uses Support Vector Machine with a novel approach for input data and trading strate...
Three-dimensional structural topology optimization of aerial vehicles under aerodynamic loads Oktay, Erdal; AKAY, HASAN UMUR; Şehitoğlu, Onur Tolga (2014-03-20) A previously developed density distribution-based structural topology optimization algorithm coupled with a Computational Fluid Dynamics (CFD) solver for aerodynamic force predictions is extended to solve large-scale probl...
SEMbySEM in action: Domain name registry service through a semantic middleware Sınacı, Ali Anıl; Şehitoğlu, Onur Tolga; Yondem, Meltem Turhan; Fidan, Güven; Tatli, Ipek (2010-12-01) The use of sensor networks and embedding these sensory environments into the legacy systems increase the complexity and advances the level of existing integration and interoperability problems. Apart from handling the mass...
A pattern classification approach for boosting with genetic algorithms Yalabık, Ismet; Yarman Vural, Fatoş Tunay; Üçoluk, Göktürk; Şehitoğlu, Onur Tolga (2007-11-09) Ensemble learning is a multiple-classifier machine learning approach which produces collections and ensembles statistical classifiers to build up more accurate classifier than the individual classifiers. Bagging, boosting ...
Gene Level Concurrency in Genetic Algorithms Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (Springer-Verlag, 2007-01-01) This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. Proposed gene process model allows genetic...
Gene level concurrency in genetic algorithms Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (2003-01-01) This study describes an alternative concurrency approach in genetic algorithms. Inspiring from implicit parallelism in a physical chromosome, a vertical concurrency is introduced. Proposed gene process model allows genetic...
A building block favoring reordering method for gene positions in genetic algorithms Şehitoğlu, Onur Tolga; Üçoluk, Göktürk (null; 2001-07-11) This work proposes an algorithm to speedup convergence of genetic algorithms that is based on the investigation of neighbouring gene values of the successful individuals of the chromosome pool. By performing some statistic...

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