Ara
Toplam kayıt 25, listelenen: 21-25
Classification of juvenile myoclonic epilepsy data acquired through scanning electromyography with machine learning algorithms
(Springer, 2012)
In this paper, classification of Juvenile Myoclonic Epilepsy (JME) patients and healthy volunteers included into Normal Control (NC) groups was established using Feed-Forward Neural Networks (NN), Support Vector Machines ...
FACE RECOGNITION BY GREY-LEVEL CO-OCCURRENCE MATRICES IN HEXAGONAL DIGITAL IMAGE PROCESSING
(ASOS Eğitim Bilişim Danışmanlık Otomasyon Yayıncılık Reklam Sanayi ve Ticaret LTD ŞTİ, 2019)
Face Recognition has been an attractive field of research fordecades, because face is one of the most useful and deterministicbiometrics. Image processing is called square pixel-based imageprocessing since its existence. ...
Serviks Kanserinin Erken Teşhisi için Çok Katmanlı Sitoloji Küplerinde Çekirdek ve Sitoplazma Bölütlenmesi
(Süleyman Demirel Üniversitesi, 2018)
Özet: Dünya genelinde kadınlarda yaygın olarak görülen ve kanser ölümlerinin
önde gelen nedenlerinden biri olan serviks kanseri, Pap smear testi sonucunda
elde edilen görüntülerdeki hücre sayısı, şekli ve özelliklerinden ...
Anomaly Detection Using Data Mining Methods in IT Systems: A Decision Support Application
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü, 2018)
Although there are various studies on anomaly detection, effective and simple anomaly detection
approaches are necessary as the inadequacy of appropriate ways for substantial network environments. In
the existing analysis ...
A Mixed Integer Linear Program for Election Campaign Optimization Under D'Hondt Rule
(SPRINGER INTERNATIONAL PUBLISHING AG, 2018)
Election campaign optimization problem (ECOP) can be described as finding the best way to allocate a political party’s resources among different election locations in order to maximize the seats or member of parliaments ...