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Multilingual Implicit Discourse Relation Recognition via Abstract Object-Enhanced Chain-of-Thought Prompting
Er, Mustafa Erolcan; Kurfali, Murathan; Zeyrek Bozşahin, Deniz (2026-01-01)
Large language models (LLMs) have demonstrated remarkable performance across a wide range of NLP tasks. However, their effectiveness in discourse parsing remains underexplored where the existing LLM-based attempts fall sig...
Analysis of Generative AI Technologies' Adoption Using Interpretive Structural Modeling: Empirical Findings from Small and Medium-Sized IT Enterprises in Türkiye
Şimşek, Buse; Özkan Yıldırım, Sevgi; Department of Information Systems (2025-12-22)
In today’s evolving technological landscape, Generative Artificial Intelligence (GenAI) has emerged as a transformative component within digitalization processes across industries. In the IT sector, GenAI is increasingly b...
SPLIT-FED LEARNING APPROACH FOR HOUSE PRICE PREDICTION WITH HETEROGENEOUS FEATURES
Nikel, Ayşenur; Koçyiğit, Altan; Department of Information Systems (2025-12-17)
Federated Learning is an emerging approach for collaborative training of a common global model without disclosing raw data available in multiple clients. Previous studies mainly focus on two distinct types of heterogeneity...
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)
DEVELOPING AN APPROACH FOR MIGRATION OF SMALL AND MEDIUM ENTERPRISES TO CLOUD COMPUTING ENVIRONMENTS
Bol, Furkan; Eren, Pekin Erhan; Department of Information Systems (2025-12-1)
Technology is rapidly evolving, and many organizations must adapt to this rapid development. Cloud computing, one of the most important aspects of technological advancement, is also part of this digitalization. All organiz...
Factors Influencing Employee Turnover in the IT Sector
Tutlübük Pala, Şifa; Eren, Pekin Erhan; Department of Data Informatics (2025-12-1)
Employee turnover is one of the most important problems that organizations face, especially in rapidly developing and competitive sectors such as information technology (IT). This study aims to employ machine learning tech...
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...
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...
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...
ANALYZING ADVERSE EVENTS OF FDA APPROVED AI-ENABLED MEDICAL DEVICES FOR RISK-AWARE DEVELOPMENT
Yang, Annie; Özcan Top, Özden; Department of Information Systems (2025-11-26)
There is increased research interest and development of artificial intelligence (AI) in various industries, especially in healthcare. Regulatory bodies are evolving to promote patient safety and product efficacy. As theori...
EXPLORING STUDENT PERSPECTIVES ON ADOPTING GENERATIVE ARTIFICIAL INTELLIGENCE FOR LEARNING: AN EMPIRICAL STUDY
Özkan Yıldırım, Sevgi; Zaka, Minal (2025-11-12)
Generative artificial intelligence (GenAI) is reshaping higher education by offering personalized andefficient learning support. However, even with the research on the acceptance of GenAI ongoing, thestudents' perc...
Evaluating the Impact of Human Values on Responsible AI Development from Stakeholder Perspectives
İlhan, Merve; Özcan Top, Özden; Department of Information Systems (2025-11-5)
This thesis addresses the need for responsible design and development of artificial intelligence (AI) technologies that are rapidly integrating into every aspect of life. With this rapid integration, the influence of stake...
SITE-SPECIFIC STRONG MOTION GENERATION AND LATENT SPACE ANALYSIS AT SEISMIC STATIONS
Bevan Deniz , Çılğın; Akagündüz, Erdem; Tileylioğlu, Salih; Department of Data Informatics (2025-11-3)
Modeling the strong motion data is crucial for seismic hazard assessment. In our study, we aim to unveil the nature of strong motion data and soil characteristics using generative AI. We created a generative model that eff...
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)
Joint MK Classification of Stellar Spectra with Distance-Aware CNNs
Sezen, Volga; Temizel, Alptekin (2025-10-19)
Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models
Çağlar, Ümit Mert; Temizel, Alptekin (2025-10-19)
Adaptive Augmentation Policy Optimization with LLM Feedback
Duru, Ant; Temizel, Alptekin (2025-10-19)
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...
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