Graduate School of Informatics, Thesis

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Thesis (979)

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Author
Akkoyun, Emrah (2)
Akyol, Mehmet Ali (2)
Alaşehir, Oğuzhan (2)
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Engineering and Technology (173)
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Computer software. (33)

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1998 - 1999 (3)
2000 - 2009 (206)
2010 - 2019 (495)
2020 - 2025 (275)

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Master Thesis (737)
Ph.D. Thesis (242)

Recent Submissions

Constructing a Forecasting Model for Decreasing Demand Deviation Effects of Products Demir Kartbol, Cansu; Eren, Pekin Erhan; Koçyiğit, Altan; Department of Data Informatics (2025-5-26) Economic changes, global cases, technological advancements, market competition, and the nature of product demand increase demand variability. From a supply chain management perspective, developing a method that can effecti...
UNSUPERVISED AND SEMI-SUPERVISED DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION Erce, Beyza Ecem; Koçyiğit, Altan; Department of Data Informatics (2025-5-26) Semantic segmentation involves assigning a class label to each pixel in an image according to the category of object or region it represents. Training a machine learning model for semantic segmentation using supervised lea...
DATA-DRIVEN ALARM PARAMETER OPTIMIZATION EYLEN, TAYFUN; Eren, Pekin Erhan; Department of Information Systems (2025-5-21) Most manufacturing sector businesses utilize advanced control mechanisms to sustain their ongoing operations. An alarm management system is one of these control mechanisms that works as a safety barrier, and it contains al...
Variant impact prediction in the obscurin and trio protein families through evolutionary conservation and structural analysis Taciroğlu, Alperen; Aydın Son, Yeşim; Department of Medical Informatics (2025-5) Obscurin and Trio protein families represent evolutionarily related proteins with crucial roles in muscle development and neuronal signalling, respectively. In this study, the evolutionary relationships between these prote...
TESTING THE EFFECTS OF TVNS NEUROMODULATION OF FOOD REWARD CYCLE VIA GUT-BRAIN SIGNALS WITH EEG Albayrak, Samet; Çakır, Murat Perit; Ürgen, Burcu Ayşen; Department of Cognitive Sciences (2025-4-14) Eating behavior is, among many other influences, shaped by flavor preferences and gut-brain signaling. Flavor perception arises from interactions with receptors in the oronasal cavity and after food is swallowed it binds t...
Agency in artificial systems: a Free Energy Principle perspective Kara, Kendal Deniz; Davoody Beni, Majid; Temürcü, Ceyhan; Department of Cognitive Sciences (2025-4-8) Agentic behavior of living organisms, meaning that their ability to engage in actions that have significance for the system, is difficult to capture in artificial systems. This difficulty leads to the Frame Problem in clas...
CONTEXT-INVARIANT AUTOENCODER TRAINING VIA UNSUPERVISED DOMAIN ADAPTATION Köktürk, Özge; Koçyiğit, Altan; Department of Data Informatics (2025-3-27) In practical use of machine learning models, generalizability is of crucial importance. When a model is trained on a dataset obtained in a specific context, it often performs poorly in similar situations but under differen...
Computational modeling of theory of mind: A Bayesian analysis of demonstrative use Aydın, Alaz; Çakır, Murat Perit; Department of Cognitive Sciences (2025-3) Human communication involves theory of mind—the ability to infer mental states of others—which becomes especially evident in the use of referring expressions. Demonstratives like this and that require coordination of atten...
EnSCAN: ENSEMBLE SCORING FOR PRIORITIZING CAUSATIVE VARIANTS ACROSS MULTI-PLATFORM GWAS FOR LATE-ONSET ALZHEIMER'S DISEASE Erdoğan, Onur; Aydın Son, Yeşim; İyigün, Cem; Department of Medical Informatics (2025-2-21) Late-onset Alzheimer's Disease (LOAD) represents a progressive and complex neurodegenerative condition prevalent among the elderly demographic. Manifesting through cognitive deterioration, including memory impairment and d...
INVESTIGATING THE SEMANTIC SIMILARITY EFFECT ON DELAYED FREE RECALL USING WORD EMBEDDINGS Büyükyaprak, Burak; Yet, Barbaros; Kılıç Özhan, Aslı; Department of Cognitive Sciences (2025-1-10) Episodic memory is a type of long-term memory that encodes and retrieves personal experiences associated with their context. Previous episodic memory studies showed that the context or pre-existing knowledge about retrieve...
Brain Network Connectivity of the N-Back Task in Schizophrenia Groups According to M1 Receptor Polymorphism Çağlayan, Ece; Çakır, Murat Perit; Kır, Yağmur; Department of Medical Informatics (2025-1-10) This study explores the impact of clozapine, an atypical antipsychotic, on cognitive function and brain connectivity in 43 schizophrenia patients, focusing on the M1 muscarinic receptor and its rs2067477 polymorphism. Buil...
FACILITATING COLLABORATIVE DEEPFAKE DETECTION BASED ON BLOCKCHAIN TECHNOLOGY AND REPUTATION Zemin, Mustafa; Baykal, Nazife; Department of Information Systems (2025-1-07) The increasing popularity of deepfake technology is progressively posing a significant threat to information integrity and security. There are numerous solutions to detect deepfakes, but they usually fail to detect all o...
A robust approach for predicting mutation effects on transcription factor binding: insights from mutational signatures in 560 breast cancer samples Kılınç, Hüseyin Hilmi; Otlu Sarıtaş, Burçak; Department of Bioinformatics (2025-1-07) Somatic mutations, particularly in non-coding regions, can perturb transcription factor (TF)-DNA interactions, influencing gene regulatory networks and contributing to cancer development. Thus, they require further compreh...
DEFINING CULTURE AND PEOPLE RELATED PROCESSES IN ADVANCED DATA ANALYTICS PROJECTS AFSHAR GHOCHANI, TINA; Özcan Top, Özden; Aysolmaz, Banu; Department of Information Systems (2025-1) Advanced data analytics (ADA), as an emerging field, empowers companies in gaining competitive advantages by offering insights derived from data. To derive business value from ADA, organizations must develop various capa...
Cross-Session EEG-Based Mental Workload Classification Using Graph Neural Networks for Reproducible Brain-Computer Interface Applications Demirezen, Güliz; Taşkaya Temizel, Tuğba; Brouwer, Anne-Marie; Department of Information Systems (2024-12-20) Human mental workload refers to the portion of an operator’s cognitive capacity used during a task. Performance of an operator may deteriorate if resource requirements of a task is higher than the available capability. Eff...
Using Deep Learning Models for Structural Break Detection in Time Series Yazıcı, Pınar Cemre; Yozgatlıgil, Ceylan; Department of Information Systems (2024-12-06) This study addresses the detection and localization of structural breaks in time series data through a comprehensive pipeline, encompassing synthetic data generation, model training, and validation. Synthetic datasets were...
Adaptive system for dynamic handling of concept drift: detection, modeling, and weighted ensemble predictions Özcan, Barış; Günel Kılıç, Banu; Department of Data Informatics (2024-12) Machine learning models depend on the quality and quantity of data used in the training process. This dependency necessitates continuous development in data collection methods and the optimization of existing data resource...
A comparative analysis of various 3D mesh optimization algorithms for assessing effectiveness on sustaining virtual visual illusion Eronat, Ümit; Tokel, Saniye Tuğba; Department of Modeling and Simulation (2024-11-29) 3D modeling is essential in fields like architecture, engineering, and virtual reality, but high-resolution 3D models often demand significant data and computational resources. Mesh simplification algorithms address this i...
DEVELOPING A FRAMEWORK TO EVALUATE THE USABILITY OF VIRTUAL AND MIXED REALITY ENVIRONMENTS TO PRACTICE MODEL-BASED SYSTEMS ENGINEERING Karataş, Kaan; Sürer, Elif; Department of Modeling and Simulation (2024-11-26) Systems Engineering is an interdisciplinary engineering field that focuses on the identification of the required components of a product and their specifications to achieve the purpose or objective. The emergence of Model-...
An analysis of kerberoasting attack and detection with supervised machine learning algorithms Aksüt, Yasin; Tezcan, Cihangir; Department of Cybersecurity (2024-11) Active Directory (AD) is one of the most widely used directory services today, playing a key role in organizing and managing network resources within an organization. In cybersecurity, AD serves as a significant component ...

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