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Recent Submissions

Enhancing IDS Through Multi-Objective Optimization: A Focus on Attack Graph under Worst-Parent Attack Deveci, Ali; Erkan, Mehmet Ali; Medeni, İhsan Tolga; Medeni, Tunç Durmuş; Uzkafali, Ali; Özkan, Ahmet (2026-06-01) This study focuses on the evolution of network security models for RPL based LLNs under worst-parent attack. The multi-objective optimization approach integrates additional metrics: i) The amount of change in the maximum p...
Innovative Approaches to High-Energy Gamma Particle Classification: A Coevolutionary Artificial Neural Network for Cherenkov Telescopes Erkan, Mehmet Ali (2026-06-01) This study addresses the challenges in analyzing data from a ground-based atmospheric Cherenkov gamma telescope, aiming to simulate and observe high-energy gamma particles. Notable challenges include differentiating sign...
Sustainable science mapping: benchmarking green AI against transformers for cross-disciplinary abstract classification using arXiv Erkan, Mehmet Ali; Yozgatlıgil, Ceylan (2026-05-01) Abstract The exponential growth of scholarly literature necessitates automated, scalable systems for organizing knowledge domains. However, text classification of academic abstracts...
A Novel Framework for Next Word Prediction Using Long-Short Term Memory Networks Deveci, Ali; Erkan, Mehmet Ali; Medeni, Ihsan Tolga; Medeni, Tunç Durmuş (2026-01-01) Natural Language Processing (NLP) has become a cornerstone in various fields, revolutionizing how machines interpret and process human language. Among its diverse applications, next-word prediction emerges as a highly prac...
The impact of changes in breast density over time on breast cancer risk Kulturoglu, Mahmut Onur; Aydin, Ferit; Sagdic, Mehmet Furkan; Aslan, Fatih; Oflaz, Zarina; Danisman, Furkan Berk; Kalaylıoğlu Akyıldız, Zeynep Işıl; Dogan, Lutfi (2025-12-01) Mammographic density is not static; instead, it is influenced by a range of factors, including age, number of births, hormone use, and menopause. The current study aims to evaluate the association between both baseline bre...
Data Mining on the Fundamental Factors Influencing Mathematics Achievement: Traditional and Modern Perspectives Koca, Burcu; Gökalp Yavuz, Fulya (2025-12-01) Assessing achievement is a complex task due to its dependence on multiple factors and the hierarchical structure of educational data, yet surveys like TIMSS offer valuable insights into its determining factors like student...
The relationship between recreational cannabis use, psychotic-like experiences, and the salience network in adolescent and young adult twins Atmaca-Turan, Hande; Şahin-Çevik, Didenur; Çakar, Serenay; Gökalp Yavuz, Fulya; van den Heuvel, Martijn; Rijsdijk, Fruhling; Filbey, Francesca; Toulopoulou, Timothea (2025-10-07) BACKGROUND: The use of cannabis in adolescence and early adulthood, critical phases for brain development, is linked to psychotic-like experiences (PLEs). The underlying mechanisms, however, remain unclear. This research e...
Income Classification Benchmark: From R (Academic Study) to Python (ML Pipeline) Erkan, Mehmet Ali (2025-10-01) The primary aim of this research is to construct a robust machine learning pipeline for income classification, predicting whether an individual earns above $50K based on demographic attributes such as work class, education...
Hybrid Mixed-Effect Diffusion model (H-MED) for longitudinal air quality analysis Tanrıverdi, İrem; Yozgatlıgil, Ceylan (2025-10-01) Air pollution poses severe threats to global public health and environmental sustainability, with complex spatio-temporal dynamics. Traditional air quality models face limitations in capturing longitudinal dependencies and...
COMPARATIVE STUDY BY ADDING BOOTSTRAPPING STAGE IN CONSTRUCTION OF BIOLOGICAL NETWORKS Kaygusuz, Mehmet Ali; Purutçuoğlu Gazi, Vilda (2025-01-01) Model selection methods are very popular in high-dimensional settings in recent years due to the availability of massive amounts of data, specifically from genetical, image progressing, and financial sources. Therefore, th...
Klasik ve Makine Öğrenmesi Modellerinin OASIS-2 Verisine Uygulanması Arslan, Rümeysa Rana; İlk Dağ, Özlem (2025-01-01) AbstractBackgroundAlzheimer’s disease (AD) is a significant global health issue that affects both individuals and society for older adults. Early detection is essential in Alzheimer’s disease, as there is no definite treat...
The imputation of missingness in cyclic and non-cyclic Electromyography(EMG) signaling data Sarasir, Fatemeh; Purutçuoğlu Gazi, Vilda (2025-01-01) Multidimensional datasets in healthcare and life sciences often reflect temporal variations, but are often incomplete, complicating the analysis, and reducing statistical accuracy. To address missing data, imputation techn...
INFERENCE OF TIME SERIES CHAIN GRAPHICAL MODEL Farnoudkia, Hajar; Purutçuoğlu Gazi, Vilda (2025-01-01) Biological data can have complex structures due to the high dependence on genes, limited observations, and sparse interactions. This complexity increases when we also consider the influence of time on the construction of t...
Self-care tendencies and their pain-relieving effects in patients with endodontic pain: a descriptive survey Bengü, Hande; Aslı Ekici, Mügem ; İlk Dağ, Özlem; Kayaoglu, Guven (2025-01-01) Amaç: Endodontik hastalarda öz bakım yönelimlerini öngören sosyodemografik/dental modelleri araştırmak ve uygulanan yöntemlerin ağrıyı gidermedeki etkinliğini araştırmaktı. Gereç ve Yöntem: Gazi Üniversitesi endodonti klin...
Forecasting Drought Phenomena Using a Statistical and Machine Learning-Based Analysis for the Central Anatolia Region, Turkey Turkes, Murat; Özdemir, Ozancan; Yozgatlıgil, Ceylan (2024-12-30) Drought is a major concern in Turkey, significantly affecting agriculture, water resources and the economy, especially in the Central Anatolia region with a semiarid steppe and dry-sub-humid climate. This study aims to dev...
A Bayesian Approach for Learning Bayesian Network Structures Zareifard, Hamid; Tabar, Vahid Rezaei; Javidian, Mohammad Ali; Yozgatlıgil, Ceylan (2024-12-01) We introduce a Bayesian approach method based on the Gibbs sampler for learning the Bayesian Network structure. For this, the existence and the direction of the edges are specified by a set of parameters. We use the non-in...
A Comparative Analysis of PISA 2015 Türkiye Studies: Introducing A Variable Selection Model to International Large-Scale Assessments Demirci, Sinem; İlk Dağ, Özlem (2024-12-01) International large-scale assessments have a key role in improving educational, economical, and political systems. By using the data of these assessments, countries can draw conclusions about the status of educational syst...
Bekenbey AI: Innovative Solutions at the Intersection of Deep Learning and Law Yücesan, Erdicem; Erkan, Mehmet Ali; Deveci, Ali; Medeni, İhsan Tolga (2024-12-01) This research introduces a cutting-edge integration of generative artificial intelligence (AI) within the realm of law, creating a sophisticated application tailored for legal professionals, organizations, and the public. ...
Stopping Levels for a Spectrally Negative Markov Additive Process Vardar Acar, Ceren; Çağlar, Mine (2024-09-01)
Irregular longitudinal data analysis with statistical and machine learning methods for hazardous asteroids Tanrıverdi, İrem; İlk Dağ, Özlem; Gürkan, Mehmet Atakan (2024-04-01) Observations of the asteroids have been performed as long as it has been feasible by the available observational equipment. Recorded data, going back to 18th century, allowed a classification of these celestial objects’ ha...

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