Yazar "ÖZTÜRK, Ali" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
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A Hybrid Model For The Prediction Of Aluminum Foil Output Thickness İn Cold Rolling Process
ÖZTÜRK, Ali; ŞEHERLİ, Rıfat (Turkiye Klinikleri, 2019)This study proposes a hybrid model composed of multiple prediction algorithms and an autoregressive moving average (ARMA) module for the thickness prediction. In order to attain higher accuracy, the prediction algorithms ... -
Asymptomatic dermatophyte scalp carriage in school children in Erzincan, Turkey
AYDIN, Merve; GÜLHAN, Barış; GÜMRAL, Ramazan; İLKİT, Macit; ÖZTÜRK, Ali (Revista Română de Medicină de Laborator, 2018-09)Background: This study aimed to investigate the prevalence of symptomatic tinea capitis infections of the scalp and its asymptomatic carriage in students attending primary schools in Erzincan, Turkey. Materials and Methods: ... -
Chaos analysis of Transcranial Doppler signals for feature extraction
ÖZTÜRK, Ali (SciTePress, 2016)In this study, chaos theory tools were used for feature extraction from Transcranial Doppler (TCD) signals. The surrogates data sets of the TCD signals which were used for the nonlinearity analysis were extracted as the ... -
Comparison of machine learning algorithms on different datasets
UYSAL, Elif; ÖZTÜRK, Ali (Institute of Electrical and Electronics Engineers Inc., 2018)Machine learning algorithms are methods used to classify data. Aim of this study is comparison of machine learning algorithms on different datasets. For this study, 9 different machine learning algorithms with 10 fold cross ... -
Early autism diagnosis of children with machine learning algorithms
BÜYÜOFLAZ, Fatiha Nur; ÖZTÜRK, Ali (Institute of Electrical and Electronics Engineers Inc., 2018)Autism Spectrum Disorder (ASD) is a neuro-developmental disorder that has become one of the major health problems, and early diagnosis has a great deal of important in terms of controlling the disease. The increase in the ... -
Neuro-fuzzy Classification of Transcranial Doppler Signals with Chaotic Meaures and Spectral Parameters
ÖZTÜRK, Ali; ARSLAN, Ahmet (Institute of Electrical and Electronics Engineers Inc., 2015)Transcranial Doppler (TCD) is a non-invasive diagnosis method which is used in diagnosis of various brain diseases by measuring the blood flow velocities in brain arteries. In this study, chaos analysis of the TCD signals ... -
Nonlinear Short-term Prediction of Aluminum Foil Thickness via Global Regressor Combination
ÖZTÜRK, Ali; ŞEHERLİ, Rıfat (Taylor and Francis Inc., 2017)In this study, short-term prediction of aluminum foil thickness time-series data recorded during cold-rolling process was investigated. The locally projective nonlinear noise reduction was applied in order to improve the ... -
Short term prediction of aluminium strip thickness via Support Vector Machines
ÖZTÜRK, Ali; ŞEHERLİ, Rıfat (Institute of Electrical and Electronics Engineers Inc., 2015)The fundamental principle of cold rolling process is the tension produced by the coiling and uncoiling motors of the rolling machine. If the tension is not properly regulated, the strip thickness will not be homogenous ...
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