Graduate School of Informatics, Thesis

Browse
Search within this collection:

Filters

Entity Type
Thesis (932)

Has File(s)
Yes (898)
No (25)

Author
Akkoyun, Emrah (2)
Alaşehir, Oğuzhan (2)
Alkan, Sarper (2)
Alkış, Nurcan (2)
Altınışık, Said (2)

Subject
Engineering and Technology (143)
Social Sciences and Humanities (66)
Natural Sciences (35)
Computer software (33)
Computer software. (33)

Date Issued
1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2024 (219)

Item Type
Master Thesis (706)
Ph.D. Thesis (226)

Recent Submissions

AN INFORMATION SECURITY ASSESSMENT MODEL FOR VERY SMALL ENTITIES
Bitlisli Erdivan, Halime Eda; Özcan Top, Özden; Department of Information Systems (2024-6-7)
In today’s digital landscape, the significance of information security is undeniable for Very Small Entities (VSEs) just like larger corporations. Despite their size, VSEs handle sensitive data and must safeguard their ass...
THE CONCEPTUAL DESIGN AND IMPLEMENTATION OF A KNOWLEDGE MANAGEMENT SYSTEM FOR COLLABORATIVE DATA SCIENCE
Civelek, Utku; Eren, Pekin Erhan; Department of Information Systems (2024-6-6)
The new industrial revolution heavily depends on digital transformation. Companies strive to ameliorate or redesign their business processes with the help of digital technologies to preserve or attain competitive advantage...
A novel content-based retrieval system for hyperspectral remote sensing imagery
Ömrüuzun, Fatih; Yardımcı Çetin, Yasemin; Leloğlu, Uğur Murat; Department of Information Systems (2024-5-27)
Due to the increased use of hyperspectral remote sensing payloads, there has been a rise in the number of hyperspectral remote sensing image archives, resulting in a massive amount of collected data. This highlights the ne...
A meta synthesis on cloud task scheduling algorithms: COVID-19 and onwards
Aksöz, Ata Hüseyin; Özkan Yıldırım, Sevgi; Department of Information Systems (2024-5-27)
This thesis seeks to analyze different task scheduling algorithms proposed for Cloud Computing field and categorize such algorithms for different use cases. It is hypothesized that COVID-19 pandemic had huge impact on Clou...
EXPLORING THE IMPACT OF IT GOVERNANCE MECHANISMS ON IT AGILITY CAPABILITIES AND CONSEQUENCES OF CENTRALIZATION OF IT GOVERNANCE
Sarı, Burçin; Özkan Yıldırım, Sevgi; Mandviwalla, Munir; Department of Information Systems (2024-5-22)
As information technology (IT) budgets continue to rise and IT’s centrality in businesses grows, effective IT governance (ITG) has become crucial for organizations aiming to swiftly respond to environmental shifts and seiz...
Image-based malware family classification with deep learning and a new dataset
Mutlu, Emre; Tezcan, Cihangir; Department of Cybersecurity (2024-5)
Security breaches and incidents due to malware, which is still exponentially evolving in sophistication, continue to increase and will likely be a significant security concern in the future. Moreover, generating a large nu...
A computational study on accusativity and ergativity
Demirel, Seda; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22)
English is defined as an accusative language with Subject-Verb-Object (SVO) syntactic order. In this study, if children were exposed to hypothetical English, i.e. ergative English, rather than accusative English in the lan...
Can AI code like a human: A Critical analysis of AI’s understanding in code generation
Akkuş, Sami; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22)
Large language models (LLMs) are so popular that they have revolutionized many software develop- ment areas, including code generation. This thesis investigates GPT3.5's ability to achieve human-like understanding in code ...
A BROADCAST MODEL OF SPREAD OF DIGITAL MUSIC COMPOSITION AMONG ARTIFICIAL AUDIENCE
KARABIYIK, EMRE; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22)
This thesis explores a novel paradigm in the realm of digital music composition, presenting a comprehensive model that simulates the intricate social dynamics between composers, broadcasters, and artificial audiences. Empl...
MEANING, REFERENTIALITY AND DISTRIBUTION: A COMPUTATIONAL INVESTIGATION OF MARKERS IN GERMAN COMPOUNDING
Çetintaş, Ali Eren; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-4-22)
Compounding is one of the known ways of word formation and it is available in many languages to some degree or another with crosslinguistic variations. It is also a productive way of word formation in German (Neef, 2009). ...
AUTOMATED ANALYSIS OF CROSSING ACTIONS IN FOOTBALL COMMENTARY USING LARGE LANGUAGE MODELS
Erkul, Anıl; Taşkaya Temizel, Tuğba; Department of Information System (2024-4-19)
In football, well-executed crosses have a significant impact, directly creating about 15% of scoring opportunities in the top leagues of England, Italy, and France. This thesis focuses on the development of a comprehensive...
ANALYSIS OF MOBILE PAYMENT TECHNOLOGIES’ ADOPTION USING INTERPRETIVE STRUCTURAL MODELING: SOLIPAY CASE
Koçak, Onur Ozan; Özkan Yıldırım, Sevgi; Department of Information Systems (2024-4-19)
In today's fast-paced world, smartphones have become an indispensable part of modern life. They have also revolutionized the way payments are made. Carrying multiple physical cards or assets can be cumbersome for modern in...
Transformer models for translating natural language sentences into formal logical expressions
Deveci, İbrahim Ethem; Zambak, Aziz Fevzi; Temürcü, Ceyhan; Department of Cognitive Sciences (2024-4-17)
Translating natural language sentences into logical expressions has been challenging due to contextual information and the variational complexity of sentences. The task is not straightforward to handle using rule-based and...
UNDERSTANDING BARRIERS EXPERIENCED BY WOMEN IN TÜRKİYE'S IT SECTOR
Gürakın, Zeynep; Özcan Top, Özden; Alkış Bayhan, Nurcan; Department of Information System (2024-4-04)
Ongoing gender inequalities the in the Information Technology (IT) industry emphasize the need for aimed interventions to promote gender equality in the world. Despite advancements in technology and societal attitudes, sys...
Efficient primer design for genotype and subtype detection of highly divergent viruses in large scale genome datasets
Demiralay, Burak; Acar, Aybar Can; Department of Medical Informatics (2024-3-11)
Identification of microorganisms is a crucial step in diagnostics, pathogen screening, biomedical research, evolutionary studies, agriculture, and biological threat assessment. While progress has been made in studying larg...
WORD INTERNAL STRUCTURE IN CHINESE: EVENT STRUCTURE, PREDICATE-ARGUMENT STRUCTURE AND CATEGORIES IN SEPARABLE VERBS
Kao, Tzu-Ching; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2024-2)
The study of Chinese separable verbs has long been one of the unresolved and under-debated challenges in the field of Chinese linguistics due to their indivisible semantics, yet decomposable syntactic behaviors of separabl...
Analyzing decision making behaviour under risk and uncertainty with the help of computational cognitive modeling and neuroscience perspectives
Bulur, Hatice Gonca; Çakır, Murat Perit; Department of Cognitive Science (2024-1-26)
This study aims to understand individuals' decision making behaviour under risk and uncertainty by bringing insights from computational cognitive modeling and neuroscience perspectives. More specifically, it investigates c...
A GENERIC BLOCKCHAIN PROCESS REFERENCE MODEL FOR SOFTWARE DEVELOPMENT IN SAFETY CRITICAL DOMAINS
Baysal, Merve Vildan; Özcan Top, Özden; Betin Can, Aysu; Department of Information Systems (2024-1-26)
In recent years, blockchain technology has garnered significant interest and shown promises in various safety critical domains such as health, automotive, and energy. In safety critical domains, any failure or malfunction ...
Prediction of Covid-19 risk of a person by analyzing computed tomography images using convolutional neural networks
Topçu, Kaan; Acar, Aybar Can; Department of Information Systems (2024-1-24)
In this thesis, 4 main research questions are answered to evaluate the performance of convolutional neural networks (CNN) in predicting Covid-19 risk by using computed tomography (CT) images. The CT images by Yang et al., ...
CROSS-DISCIPLINARITY IN COGNITIVE SCIENCE: A DOCUMENT SIMILARITY ANALYSIS
Alaşehir, Oğuzhan; Çakır, Murat Perit; Acartürk, Cengiz; Department of Information Systems (2024-1-22)
Systematic quantification of cross-disciplinarity necessitates bibliometric and spatial analysis, socio-institutional aspects, or text-based techniques. Especially, with the advancement in bibliometric methods, a variety o...
Citation Formats