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Bulunan: 4 Adet 0.002 sn

Yayıncı : Institute of Electri ... ✕İlgili Araştırmacılar : Ali Öztürk ✕

İlgili Araştırmacılar [5]

Ambargo Durumu [1]

Tam Metin [1]

Yayın Türü [1]

Yazar/lar [5]

Atıf Dizini [1]

Konu Başlıkları [17]

Yayıncı [1]

Yayın Tarihi [2]

Yayın Dili [2]

Doç. Dr. Ali ÖztürkKTO KARATAY ÜNİVERSİTESİ/UYGULAMALI BİLİMLER YÜKSEKOKULU/PİLOTAJ BÖLÜMÜ/PİLOTAJ PR. (TAM BURSLU)/

Erişime Açık

Early autism diagnosis of children with machine learning algorithms

BÜYÜOFLAZ, Fatiha Nur | ÖZTÜRK, Ali

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 number of autoimmune influenza and ASD cases in the world reveals an urgent need to develop easily applied and effective screening methods In this study, performance comparisons were made using three different classification methods, Naive Bayes, IBk (k-nearest neighbors), RBFN (radial basis function network), and Random Forest, on UCI 2017 Autistic Spectrum Disorder Screenin ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 5 Görüntülenme

Erişime Açık

Neuro-fuzzy Classification of Transcranial Doppler Signals with Chaotic Meaures and Spectral Parameters

ÖZTÜRK, Ali | ARSLAN, Ahmet

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 recorded from the middle arteries of the temporal region of brain of the 82 patients and 23 healthy people was investigated. Among 82 patients, 20 of them had cerebral aneurism, 10 had brain hemorrhage, 22 had cerebral oedema and the remaining 30 had brain tumor. Maximum Lyapunov exponent which is the strongest quantitative indicator of chaos was found to be positive for all ...Daha fazlası

Konferans Bildirisi 2015 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme

Erişime Açık

Comparison of machine learning algorithms on different datasets

UYSAL, Elif | ÖZTÜRK, Ali

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 validation method in WEKA is classified on 3 different datasets. As a result of classification, machine learning algorithm which has high accuracy rate is different for 3 datasets. Multilayer Perceptron algorithm for Car Evaluation dataset, Random Forest algorithm for Image Segmentation dataset and Simple Logistic algorithm for User Knowledge Modeling dataset were obtained. ...Daha fazlası

Konferans Bildirisi 2018 Institute of Electrical and Electronics Engineers Inc. 6 Görüntülenme

Erişime Açık

Short term prediction of aluminium strip thickness via Support Vector Machines

ÖZTÜRK, Ali | ŞEHERLİ, Rıfat

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 over the surface and even ruptures may occur. Therefore, short-term prediction of the aluminium strip thickness is important to control the tension. In this study, nonlinear time series analysis methods were applied to the recorded thickness data in order to obtain the embedding vectors with appropriate embedding dimension and time delay. For various prediction horizons, the emb ...Daha fazlası

Konferans Bildirisi 2015 Institute of Electrical and Electronics Engineers Inc. 3 Görüntülenme

Detaylı Arama

Filtreler

İlgili Araştırmacılar [5]

Ambargo Durumu [1]

Tam Metin [1]

Yayın Türü [1]

Yazar/lar [5]

Atıf Dizini [1]

Konu Başlıkları [17]

Yayıncı [1]

Yayın Tarihi [2]

Yayın Dili [2]

Early autism diagnosis of children with machine learning algorithms

BÜYÜOFLAZ, Fatiha Nur | ÖZTÜRK, Ali

Neuro-fuzzy Classification of Transcranial Doppler Signals with Chaotic Meaures and Spectral Parameters

ÖZTÜRK, Ali | ARSLAN, Ahmet

Comparison of machine learning algorithms on different datasets

UYSAL, Elif | ÖZTÜRK, Ali

Short term prediction of aluminium strip thickness via Support Vector Machines

ÖZTÜRK, Ali | ŞEHERLİ, Rıfat