Graduate School of Informatics

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Recent Submissions

Exploring challenges in deep learning of single-station ground motion records Çağlar, Ümit Mert; Yilmaz, Baris; Türkmen, Melek; Akagündüz, Erdem; Tileylioglu, Salih (2025-12-01)
Augmenting atmospheric turbulence effects on thermal-adapted deep object detection models Uzun, Engin; Akagündüz, Erdem (2025-12-01) Atmospheric turbulence poses a significant challenge to the performance of object detection models. Turbulence causes distortions, blurring, and noise in images by bending and scattering light rays due to variations in the...
A comparative analysis of hyperparameter optimization using LSTM-based deep learning models for urban air quality predictions Eren, Beytullah; Erden, Caner; Atalı, Ayşegül; Özdemir, Serkan (2025-12-01) Air pollution poses significant threats to human health and the environment, necessitating accurate prediction models for effective management and mitigation strategies. This study presents a comprehensive analysis of hype...
Effective primer design for genotype and subtype detection of highly divergent viruses in large scale genome datasets Demiralay, Burak; Can, Tolga (2025-12-01) Identification of microorganisms in a biological sample is a crucial step in diagnostics, pathogen screening, biomedical research, evolutionary studies, agriculture, and biological threat assessment. While progress has bee...
Enhancing lake water level forecasting with attention-based LSTM: a data-driven approach to hydrology and tourism dynamics Chapon, Máté; Özdemir, Serkan (2025-11-01) In recent decades, freshwater lakes in the Northern Hemisphere have faced significant challenges, including severe water shortages and increased stormwater discharges. As a result, accurate forecasting of lake water levels...
Development of a Systems Modeling Language Framework in Virtual Reality and Mixed Reality Environments: A Comparative Analysis Karatas, Kaan; Sürer, Elif (Crc Press-Taylor & Francis Group, 2025-11-01)
Evaluation of Existing Process Models for Research and Development Projects GÜNEŞ, HANDE; Özcan Top, Özden (2025-10-14)
The impact of digital transformation on the gaming industry and the extended reality technologies: limitations, challenges, and opportunities Sürer, Elif (Edward Elgar , 2025-10-01) In this timely book, case studies from global researchers showcase how digital technologies are impacting creative industries worldwide. Providing up-to-date examples from across Africa, Asia, and Europe, authors explore h...
Deciphering sequence variations and splicing sensitivity: predictive analysis of PSI in SRRM4 response groups Böler, Ümit Sude; Otlu Sarıtaş, Burçak; Dias, Mafalda; Department of Bioinformatics (2025-9-01) Alternative splicing is essential for the expansion of transcriptomic complexity, with microexons representing some of the most functionally critical and tightly regulated splicing events in neural development. Because mic...
A Dual Eye Tracking Study of Joint Attention in Adults with Autism Spectrum Disorder Otizm Spektrum Bozukluğu Olan Yetişkinlerde Ortak Dikkat Üzerine Dual Göz İzleme Çalışması MANÇE ÇALIŞIR, ÖYKÜ; Çakır, Murat Perit; Acartürk, Cengiz; Atbaşoğlu, Eşref Cem (2025-09-01) Introduction: Joint attention (JA) is a fundamental aspect of social interaction and a cornerstone of social communication. This study explores factors influencing JA in adults with Autism Spectrum Disorder (ASD) using an ...
FLAW DETECTION IN ALUMINIUM CASTINGS LEVERAGING SYNTHETIC DATA FOR NON-DESTRUCTIVE TESTING Erkan, Umut Can; Sürer, Elif; Yaman, Ulaş; Department of Modeling and Simulation (2025-9-01) Non-destructive testing (NDT) using radiographic imaging plays a vital role in quality assurance for industrial manufacturing, particularly in detecting internal flaws in aluminum castings. However, the application of deep...
Exploring Technical Debt Across ML Project Lifecycle: A Process-Oriented Analysis Based on ISO Standards Yorgancılar Akgül, Nilay; Taşkaya Temizel, Tuğba; Özcan Top, Özden; Department of Data Informatics (2025-9) AI-integrated software systems are increasingly adopted across various domains, offering improved capabilities but also introducing unique technical challenges. Compared to traditional software systems, AI systems are more...
Modeling Disease Progression with Diffusion-Based Generative Models KURT, Meryem Mine; Temizel, Alptekin; Department of Modeling and Simulation (2025-8-29) Disease progression modeling in medical imaging presents significant challenges due to the scarcity of longitudinal data and the inherent class imbalance in medical datasets. This thesis introduces a novel conditional diff...
Joint Temperature-Luminosity Classification of Stellar Spectra with a Distance-Aware Loss Function Sezen, Volga; Temizel, Alptekin; Department of Data Informatics (2025-8-28) Modern sky surveys continue to produce large datasets, making automated classification essential for population studies and new discoveries. In this work, a stellar spectral database was assembled from five public librarie...
GREEN RENOVATOR: A SERIOUS GAME FOR AWARENESS-RAISING IN SUSTAINABLE URBAN ENERGY MANAGEMENT AND BUILDING RETROFITS Ozan, Ali; Sürer, Elif; Gürsel Dino, İpek; Department of Modeling and Simulation (2025-8-28) This thesis presents Green Renovator, a serious game designed to raise public awareness of city-scale energy management grounded in a real neighborhood dataset. Following a width-over-depth design philosophy, the game puts...
ADAPTIVE DATA AUGMENTATION THROUGH PROMPT-DRIVEN POLICY OPTIMIZATION WITH LARGE LANGUAGE MODELS Duru, Ant; Temizel, Alptekin; Department of Modeling and Simulation (2025-8-28) Data augmentation is a critical component of deep learning pipelines, enhancing model generalization by increasing dataset diversity. Traditional augmentation strategies rely on manually designed transformations, stochasti...
A CHALLENGE-DRIVEN APPROACH TO IMPROVE SOFTWARE SYSTEM RESEARCH AND DEVELOPMENT PROJECT PROCESSES GÜNEŞ, HANDE; ÖZCAN TOP, ÖZDEN; Department of Information Systems (2025-8-27) Research and Development (R&D) projects are conducted across various sectors, particularly in automotive, energy, medical/pharmaceutical, and software industries. These projects present significant challenges due to the in...
EXPLORING STUDENTS’ PERSPECTIVE ON ADOPTING GENERATIVE ARTIFICIAL INTELLIGENCE FOR LEARNING: AN EMPIRICAL STUDY Zaka, Minal; Özkan Yıldırım, Sevgi; Department of Information Systems (2025-8-27) Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized and efficient learning support. However, even with the research on the acceptance of GenAI ongoing, the students' perception...
METHODS FOR RECORDING, INTERPOLATION AND REPRODUCTION OF 6 DEGREES-OF-FREEDOM IMMERSIVE AUDIO USING RIGID SPHERICAL MICROPHONE ARRAYS Olgun, Orhun; Hacıhabiboğlu, Hüseyin; Olgun, Orhun; Department of Modeling and Simulation (2025-8-25) Future immersive media systems must support six degrees-of-freedom (6DoF) user movement to deliver realistic audiovisual experiences. While rigid spherical microphone arrays (SMAs) are standard for 3DoF spatial audio captu...
Cost-driven predictive maintenance strategy based on varying prediction horizons Gevrek, Rabia Nur; Koçyiğit, Altan; Department of Data Informatics (2025-8-25) This thesis explores the use of predictive maintenance strategies under varying prediction horizons for complex machines. In practical settings, deciding the right time for maintenance is often more important than simply p...

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