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Browsing by Author "Oz, Cemil"

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Deep learning-based face analysis system for monitoring customer interest

Yolcu, Gozde; Oztel, Ismail; Kazan, Serap; Oz, Cemil; Bunyak, Filiz (SPRINGER HEIDELBERG, 2020)

In marketing research, one of the most exciting, innovative, and promising trends is quantification of customer interest. This paper presents a deep learning-based system for monitoring customer behavior specifically for ...
Differentiation of multiple sclerosis lesions and low-grade brain tumors on MRS data: machine learning approaches

Eksi, Ziya; Ozcan, Muhammed Emin; cakiroglu, Murat; Oz, Cemil; Aralasmak, Ayse (SPRINGER-VERLAG ITALIA SRL, 2021)

Some multiple sclerosis (MS) lesions may have great similarities with neoplastic brain lesions in magnetic resonance (MR) imaging and thus wrong diagnoses may occur. In this study, differentiation of MS and low-grade brain ...
Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning

Eksi, Ziya; Cakiroglu, Murat; Oz, Cemil; Aralasmak, Ayse; Karadeli, Hasan Huseyin; Ozcan, Muhammed Emin (ASSOC ARQUIVOS NEURO- PSIQUIATRIA, 2020)

Introduction: Magnetic resonance imaging (MRI) is the most important tool for diagnosis and follow-up in multiple sclerosis (MS). The discrimination of relapsing-remitting MS (RRMS) from secondary progressive MS (SPMS) is ...
Hybrid fuzzy-genetic algorithm to automated discovery of prediction rules

Fadel, Ibrahim A.; Alsanabani, Hussein; Oz, Cemil; Kamal, Tariq; Iskefiyeli, Murat; Abdien, Fawzia (IOS PRESS, 2021)

Genetic algorithm is one of data mining classification techniques and it has been applied successfully in a wide range of applications. However, the performance of Genetic algorithm fluctuates significantly. This research ...
Online metallic surface defect detection using deep learning

Cerezci, Feyza; Kazan, Serap; Oz, Muhammed Ali; Oz, Cemil; Tasci, Tugrul; Hizal, Selman; Altay, Caglayan (ICE PUBLISHING, 2020)

Across a range of manufacturing contexts, automated quality control has been gaining significant attention because it offers competitive advantages such as cost reduction, high accuracy in defect detection and system ...
The Anomaly- and Signature-Based IDS for Network Security Using Hybrid Inference Systems

Einy, Sajad; Oz, Cemil; Navaei, Yahya Dorostkar (HINDAWI LTD, 2021)

With the expansion of communication in today's world and the possibility of creating interactions between people through communication networks regardless of the distance dimension, the issue of creating security for the ...