Graduate School of Informatics, Thesis

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Thesis (789)

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Alkan, Sarper (2)
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Engineering and Technology (44)
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Computer software. (33)
Mobile communication systems. (27)
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1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2022 (85)

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Master Thesis (610)
Ph.D. Thesis (179)

Recent Submissions

IMPLEMENTATION OF A PATIENT EMPOWERMENT PLATFORM FOR INTEGRATED CARE Sarıgül, Bünyamin; Aydın Son, Yeşim; Laleci Ertürkmen, Gökçe Banu; Department of Bioinformatics (2022-2-11) While the number of chronic disease patients are increasing with the aging population, their complex treatments are a burden in today’s healthcare systems both economically and technically. Integrated care systems are one ...
Character generation through self supervised vectorization Gökçen, Gökçeoğlu; Bozşahin, Hüseyin Cem; Emre, Akbaş; Department of Cognitive Sciences (2022-2-11) Humans learn visual concepts rapidly and flexibly from few samples. However, this kind of learning is a challenge for the prevalent machine learning methodologies. Currently, high performing deep learning models and algori...
DEVELOPING AN ARCHITECTURAL FRAMEWORK FOR FACILITATING TRANSFORMATION TOWARDS DATA-DRIVEN ORGANIZATIONS Kayabay, Kerem; Eren, Pekin Erhan; Gökalp, Ebru; Department of Information Systems (2022-2-11) Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also called big data. Businesses increasingly focus on exploiting big data for competitive advantage, leveraging data science. However, ...
Investigating the factors affecting customer engagement and the influence of customer engagement on brand loyalty in automobile online brand communities Bayraktar, Pelin; Özkan Yıldırım, Sevgi; Department of Information Systems (2022-2-10) The purpose of this study is to identify the factors affecting customer engagement dimensions in online brand communities (OBCs) and to investigate the intra- and inter-relationships between engagement and loyalty dimensio...
Fast EEG based biometrics via mean curve length Yahyaei, Reza; Özkurt, Tolga Esat; Department of Medical Informatics (2022-2-10) Continuous biometrics using electroencephalography (EEG) has attracted noticeable amount of research for some time. Many state-of-the-art methods have been proposed and achieved satisfactory performances of more than 95 % ...
Improving classification performance of endoscopic images with generative data augmentation Çağlar, Ümit Mert; Temizel, Alptekin; Department of Modeling and Simulation (2022-2-8) The performance of a supervised deep learning model is highly dependent on the quality and variety of the images in the training dataset. In some applications, it may be impossible to obtain more images. Data augmentation ...
INTEGRATIVE PREDICTIVE MODELING OF METASTASIS IN MELANOMA CANCER KUTLAY, AYŞEGÜL; Aydın Son, Yeşim; Department of Bioinformatics (2022-2-08) This study focused on identifying the regulatory impact of genetic biomarkers for monitoring metastatic molecular signatures of melanoma by investigating the consolidated effect of miRNA, mRNA, and DNA methylation. We deve...
SPEED PERCEPTION IN MULTISENSORY PROFILES: WHAT IS THE EFFECT OF ATTENTION? Kavaklıoğlu, Efsun; Özge, Umut; Kafalıgönül, Hulusi; Department of Bioinformatics (2022-2-7) Multisensory processing and crossmodal interactions in the temporal domain are crucial for survival in a dynamic environment. Temporal ventriloquism illusion demonstrates the importance of the crossmodal interactions in th...
NETWORK INTRUSION DETECTION WITH A DEEP LEARNING APPROACH Kültür, Ebru; Acar, Aybar Can; Department of Cybersecurity (2022-2-7) With the rapid growth of the information technology in several areas, providing security of those systems has gained more importance. As a result of this development in information technology, the complexity of cyber-attac...
COMPARISON OF ENTROPY AND ENSEMBLE-BASED FEATURE SELECTION THROUGH NETWORK ANALYSIS OF ALZHEIMERS DISEASE-ASSOCIATED VARIANTS Rafatov, Sevda; Aydın Son, Yeşim; Department of Bioinformatics (2022-2-7) Alzheimer’s Disease (AD) is a complex, progressive and irreversible brain disorder that slowly destroys memory and thinking skills and eventually loses the ability to do daily tasks. Our group is currently developing in-si...
AN INFORMATION THEORETIC REPRESENTATION OF HUMAN BRAIN FOR DECODING MENTAL STATES OF COMPLEX PROBLEM SOLVING Gunal Degirmendereli, Gonul; Yarman Vural, Fatoş Tunay; Department of Cognitive Sciences (2022-2) In this thesis, we propose an information theoretic method for the representation of human brain activity to decode mental states of a high-order cognitive process, complex problem solving (CPS) using functional magnetic r...
INDUSTRIAL ADOPTION OF MODEL-BASED SYSTEMS ENGINEERING: AN INVESTIGATION WITHIN THE DEFENCE INDUSTRY Bayramoğlu, Alitan; Özkan Yıldırım, Sevgi; Department of Bioinformatics (2022-1-24) Increasing competition in contemporary industrial settings drive organizations to unceasingly seek ways to improve the overall quality of their products and services, and the processes followed in order to procure them. Mo...
Effects of attachment styles on prefrontal cortex during naturalistic social interaction: An fNIRS based hyperscanning study Yargıçoğlu, Burcu; Çakır, Murat Perit; Department of Cognitive Sciences (2022-1) This study investigates possible differences of prefrontal cortex (PFC) activity as well as brain-to-brain coordination across PFCs of dyads during naturalistic social interaction from an attachment theory perspective by e...
Cognitive Modelling of Opposing Forces at the Simulation Analysis Lab Topcu, Yeliz; Zeyrek Bozşahin, Deniz; Ulubay, Murat; Department of Cognitive Sciences (2021-12-09) In modern military systems, engagement simulations are used to assist in conceptual design and verification of weapon systems. The quality of these simulations is directly proportional to the level of authenticity of the b...
OBJECTIVE MEASUREMENT OF FABRIC SOFTNESS AND PILLING USING HAND CRAFTED FEATURES AND DEEP LEARNING Mammadli, Seymur; Akyüz, Ahmet Oğuz; Department of Modeling and Simulation (2021-12-09) Fabric softness is a complex tactile sensation perceived by the user even before the fabrics are worn. Softness is usually the property of surface perceived by touching or pressing a finger on the fabric surface. Fabric fr...
TECHNOLOGY ACCEPTANCE MODEL TO EVALUATE FACTORS AFFECTING ADOPTION OF THE INDUSTRIAL INTERNET OF THINGS (IIOT) BY THE INDUSTRIAL PROFESSIONALS Selçuk, Sertan; Acartürk, Cengiz; Department of Cybersecurity (2021-11-24) The use of the Industrial Internet of Things (IIoT) is increasing rapidly. In this way, with the ability to collect and analyze vast amounts of data, operational costs began to decrease, product quality improved, and human...
Malware Detection Using Transformers-based Model GPT-2 Şahin, Nazenin; Acartürk, Cengiz; Department of Cybersecurity (2021-11-17) The variety of malicious content, besides its complexity, has significantly impacted end-users of the Information and Communication Technologies (ICT). To mitigate the effect of malicious content, automated machine learnin...
Data Science Capability Maturity Model Gökalp, Mert Onuralp; Koçyiğit, Altan; Department of Information Systems (2021-11-09) Today, data science presents immense opportunities in attaining competitive advantage, generating business value, and driving revenue streams for organizations. Data science has also significantly changed our understanding...
Verifying maze-like game levels with model checker SPIN Tekik, Onur; Betin Can, Aysu; Sürer, Elif; Department of Information Systems (2021-11-5) In this thesis, we present a new methodology that includes procedural generation and verification of maze-like game levels. The methodology employs a model checker, called SPIN, to both produce a winning sequence of action...
Evaluating dance sport for expertise: a classification approach based on verbal descriptions Yılmaz, Ali Can Serhan; Acartürk, Cengiz; Department of Cognitive Sciences (2021-11) Dance sport is a performance in which a male and a female aim at exhibiting certain body techniques in a limited time period. The judges, who report the performance evaluation, focus on the body lines, the bodily communica...

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