Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1926

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Determination of Alzheimer's Disease Stages by Artificial Learning Algorithms
(Lifescience Global, 2025) Bulut, Nurgül; Çakar, Tuna; Arslan, İlker; Akıncı, Zeynep Karaoğlu; Oner, Kevser Setenay
Introduction: This study aims to determine the stages of Alzheimer's disease (AD) using different machine learning algorithms, and compares the performance of these models. Methods: Demographic, genetic, and neurocognitive inventory data from the National Alzheimer's Coordinating Center (NACC) database as well as brain volume/thickness data from magnetic resonance imaging (MRI) scans were used. Deep Neural Networks, Ordinal Logistic Regression, Random Forest, Gaussian Naive Bayes, XGBoost, and LightGBM models were used to identify four different ordinal stages of AD. Results: Although the performance measures of the developed models were similar, the highest classification rate of AD stages was achieved by the Random Forest model (accuracy: 0.86; F1 score: 0.86; AUC: 0.95). The outputs of the model with the best performance were explained by the SHapley Addictive exPlanations (SHAP) method. Conclusions: This indicates that non-invasive markers and machine learning models can be used effectively in early diagnosis and decision support systems to predict stages of AD. © 2025 Elsevier B.V., All rights reserved.
Evaluating Large Language Models in Data Generation for Low-Resource Scenarios: A Case Study on Question Answering
(International Speech Communication Association, 2025) Arisoy, E.; Menevşe, M.U.; Manav, Y.; Özgür, A.
Large Language Models (LLMs) are powerful tools for generating synthetic data, offering a promising solution to data scarcity in low-resource scenarios. This study evaluates the effectiveness of LLMs in generating question-answer pairs to enhance the performance of question answering (QA) models trained with limited annotated data. While synthetic data generation has been widely explored for text-based QA, its impact on spoken QA remains underexplored. We specifically investigate the role of LLM-generated data in improving spoken QA models, showing performance gains across both text-based and spoken QA tasks. Experimental results on subsets of the SQuAD, Spoken SQuAD, and a Turkish spoken QA dataset demonstrate significant relative F1 score improvements of 7.8%, 7.0%, and 2.7%, respectively, over models trained solely on restricted human-annotated data. Furthermore, our findings highlight the robustness of LLM-generated data in spoken QA settings, even in the presence of noise. © 2025 International Speech Communication Association. All rights reserved.
Makine Öğrenimi ve Çok Boyutlu Anket Verileri Kullanılarak Öğrenci Başarısının Tahmini: Eğitim Programı Üzerine Bir Uygulama
(Institute of Electrical and Electronics Engineers Inc., 2025) Behsi, Zeynep; Dereli, Serhan; Çakar, Tuna ; Patel, Jay Nimish; Cicek, Gultekin; Drias, Yassine
This study develops a machine learning model integrating survey data and performance metrics to predict student success in the UpSchool education program. Students' personality traits assessed by DISC analysis, financial management, social, and emotional skills were clustered into "Successful,""Unsuccessful,"and "Moderately Successful"groups using K-means clustering. The SMOTE technique addressed data imbalance issues, and algorithms such as Logistic Regression, Random Forest, LightGBM, and AdaBoost were tested. After hyperparameter optimization, AdaBoost and LightGBM achieved the highest predictive performance. Results demonstrated the effectiveness of machine learning models in forecasting student success in educational programs. Future studies are recommended to enhance model performance through expanded datasets and to validate the model's applicability across diverse educational contexts. © 2025 Elsevier B.V., All rights reserved.
Conclusion: What We Found and What We Recommend
(Cambridge University Press, 2021) Kibaroğlu, Ayşegül; Schmandt, Jurgen; Ward, George H.
This interdisciplinary volume examines how nine arid or semi-arid river basins with thriving irrigated agriculture are doing now and how they may change between now and mid-century. The rivers studied are the Colorado, Euphrates-Tigris, Jucar, Limarí, Murray-Darling, Nile, Rio Grande, São Francisco, and Yellow. Engineered dams and distribution networks brought large benefits to farmers and cities, but now the water systems face multiple challenges, above all climate change, reservoir siltation, and decreased water flows. Unchecked, they will see reduced food production and endanger the economic livelihood of basin populations.
Citation - Scopus: 5
Turkey's EU Membership Process in the Aftermath of the Gezi Protests
(Taylor and Francis, 2025) Saatçioǧlu, B.
Exploring Generative AI and Unsupervised Learning for Digital Soil Classification: A Case Study of Algeria
(Institute of Electrical and Electronics Engineers Inc., 2025) Belkadi, W.H.; Drias, Y.; Drias, H.; Bouchelkia, H.; Hamdous, S.
Accurate soil type mapping is vital for sustainable agriculture and land management. Yet, Algeria remains under-represented in global soil databases. To address this, we propose a pipeline combining Generative AI for data extraction with unsupervised learning for soil classification. After harmonizing Algerian soil data, we evaluate four clustering algorithms - K-means, DBSCAN, HDBSCAN, and Self-Organizing Maps - under various preprocessing settings. Internal and external metrics guide model selection. K-means and DBSCAN produced the most coherent clusters, while SOM best aligned with FAO soil types. RuleFit was then used to extract interpretable rules defining each cluster. This work highlights the potential of AI-based, interpretable clustering for digital soil mapping in data-scarce regions like Algeria. © 2025 Elsevier B.V., All rights reserved.
The Role of Artificial Intelligence in Sustainable Food Retailing: A Pathway to Reducing Waste and Enhancing Efficiency
(Springer Science and Business Media B.V., 2026) Köse, Ş.G.; Kazançoǧlu, I.; Kazancoglu, Y.
Food waste arises in the supply chain’s distribution, marketing, and consumption phases. Retailers face problems related to food waste since it increases operating costs, causing savings and loss of profitability. Due to food waste’s environmental, economic, and social impacts, food retailers increasingly incorporating artificial intelligence-based applications into their operations to increase efficiency and ensure sustainability. Demand forecasting, inventory management and optimization, dynamic pricing, supply chain, and order optimization are some of the main artificial intelligence applications utilized to address food waste. In line with this purpose, the paper aims to highlight the importance of artificial intelligence for reducing food waste in retailing. This study focuses on how food retailers increasingly leverage artificial intelligence to reduce food waste and improve sustainability across their operations. This research was conducted through case study and these cases provide applications of artificial intelligence to the food retail industry. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Citation - Scopus: 4
Yeni Koronavirüs (COVID-19) Sürecinde Türkiye’de Üniversite Kütüphaneleri
(Üniversite ve Araştırma Kütüphanecileri Derneği, 2020) Gürdal, Gültekin; Çanak, Tuba Akbaytürk; Çuhadar, Sami; Çimen, Ertuğrul
Bu çalışmanın amacı Yeni Koronovirüs (COVID-19) nedeniyle binalarını kapatarak yüz yüze kullanıcı hizmetlerine ara vermek ya da askıya almak durumunda kalan üniversite kütüphanelerini tespit etmek, hizmetlerine devam edenlerin hizmetlerini hangi koşullarda, hangi sürelerle verdiğini belirlemek ve kütüphanelerin yeniden açılması durumunda yapılması gerekenler ile ilgili önerilerde bulunmaktır. Bu amacı bütünsel bir çerçevede yakalayabilmek için üniversite kütüphanelerinin farklı paydaşları olan yayıncıların, meslek örgütlerinin bu dönemdeki çalışmaları da küresel düzeyde incelenmiştir. Çalışmanın bir diğer amacı ise üniversite kütüphanelerinin altyapı, bütçe, koleksiyon, kullanıcı eğitimi, personel açısından uzaktan hizmet vermeye ne kadar hazır olduklarını, ani gelişen bu durum nedeniyle yaşanan sorunları tespit etmek ve sorunlar için çözüm önerileri sunmaktır. Çalışmanın temelini oluşturan veriler 209 (129 Devlet Üniversitesi, 75 Vakıf Üniversitesi, 5 Vakıf MYO) yükseköğretim kurumunun kütüphane yöneticilerine gönderilen anket sorularına verilen cevaplardan elde edilmiştir. Ankete 84 kurum katılmıştır. Anket sonuçları Surveey.com ve MS Excel ile analiz edilmiş ve görselleştirilmiştir.
Water Diplomacy Between Türkiye and Iraq: Pathways, Challenges, and Future Prospects
(Johns Hopkins University Press, 2025) Kibaroǧlu, Ayşegül
Systematic analyses of transboundary water relations in the Euphrates-Tigris basin reveal that key riparian states—Türkiye, Syria, and Iraq—favor water diplomacy over conflict. Despite political instability, including the Syrian civil war, Türkiye and Iraq have re-engaged in formal and informal water diplomacy mechanisms. This paper argues that water diplomacy in this region will likely continue to adapt to the evolving dynamics of conflict impacting transboundary water relations. Notably, cooperation on water issues between Türkiye and Iraq is closely linked with their security collaboration, whose success will likely depend on socioeconomic developments that support fair and sustainable water use across the region. The paper further emphasizes the need to prioritize the swift implementation of existing agreements that address future water availability and demand, particularly in the context of climate change.
Memory and Anxiety: A Sociocultural Approach
(Cambridge University Press, 2025) Batiashvili, Nutsa; Topcu, Meymune Nur; Wertsch, James, V.
Enhanced Knowledge Transfer in Historical Site Interpretation: A Gamified Approach for Yedikule Fortress/Türkiye
(Springer Science and Business Media Deutschland GmbH, 2025) Özer, D.G.; Gül, L.F.; Coskun, E.; Kilimci, E.S.Y.; Gül, M.
This study explores the integration of wearable and portable devices in enhancing the interpretation and communication of Yedikule Fortress, a 1600-year-old historical site on the outskirts of the Istanbul’s Historic Peninsula. This interpretation involves users taking of the site tour with augmented reality/mixed reality-enhanced using audio accompaniment and gamification. The designed route provides tailored information, enhanced by a digital layer and a storyline. This study examines the quality of the information, visitor route design, and the integration of game elements. The multi-modal guidance system fosters interaction between historical narratives and spatial context, with participants reporting increased interest and improved recall of historical details. Building on the refinement of the process through expert input and participant feedback, this study also highlights limitations related to device affordances that influenced user behavior and interaction. Future research should explore the adaptability of this framework to other heritage sites, ensuring its educational and experiential relevance. © 2025 Elsevier B.V., All rights reserved.
Influence of Local Soil Conditions on Damages in Kahramanmaras during the 2023 Turkey Earthquake
(Springer Science and Business Media Deutschland GmbH, 2025) Milev, Nikolay; Kiyota, Takashi; Tobita, Tetsuo; Briones, Juan; Briones, Othon; Cinicioglu, Ozer; Torisu, Seda
The 2023 Turkey-Syria earthquake affected an area of 99000 km2 on Turkish side where two million people were left without home. The PGA values which have been recorded by various stations show values as high as 1.2g as well as relatively spectacular maximum vertical component (PGV). The focus of the paper is to focus on a noticeable phenomenon in the city of Kahramanmaras where, on one hand, almost all buildings in the historical centre have either collapsed or been severely damaged by the two earthquakes (Pazarcik at 4:17 AM and Elbistan at 1:24 PM, respectively) of February 6th 2023, whereas, on the other hand, structures in the surrounding areas have significantly less damage. Moreover, it is evident from seismic stations’ recordings that impact (in terms of PGA, acceleration and velocity time histories) of first major shock (M7.7 Pazarcik) is higher than the one of the second major shock (M7.6 Elbistan) at similar magnitude and comparable distance to the epicenter. For the sake of investigating further the influence of local soil conditions as possible reason for the observed events shear wave velocity and soil deposit fundamental frequency have been measured in two spots – first, where multiple collapsed structures were detected and second, a neighbouring area with mostly standing buildings. Results indicate that the on-site measurement of only S-waves might lead to wrong assumptions in terms of microseismical zonation and further considerations shall be accounted. Furthermore, some comments and preliminary assumptions regarding seismic motion amplification effects have been presented in the study. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Citation - Scopus: 1
Sustainability of Engineered Rivers in Arid Lands: Challenge and Response
(Cambridge University Press, 2021) Schmandt, Jurgen; Kibaroğlu, Ayşegül; Buono, R.M.; Thomas, S.
This interdisciplinary volume examines how nine arid or semi-arid river basins with thriving irrigated agriculture are doing now and how they may change between now and mid-century. The rivers studied are the Colorado, Euphrates-Tigris, Jucar, Limarí, Murray-Darling, Nile, Rio Grande, São Francisco, and Yellow. Engineered dams and distribution networks brought large benefits to farmers and cities, but now the water systems face multiple challenges, above all climate change, reservoir siltation, and decreased water flows. Unchecked, they will see reduced food production and endanger the economic livelihood of basin populations. The authors suggest how to respond to these challenges without loss of food production, drinking water, or environmental health. The analysis of the political, hydrological, and environmental conditions within each basin gives policymakers, engineers, and researchers interested in the water/sustainability nexus a better understanding of engineered rivers in arid lands. © Jurgen Schmandt, Aysegu¨l Kibaroglu, Regina M. Buono and Sephra Thomas 2021.
Dil Modelleri ile Akademik Özet Üretimi
(Institute of Electrical and Electronics Engineers Inc., 2025) Bektas, Busra; Gultekin, Ali Ozgun; Ozdemiroglu, Emre; Yilmaz, Zeynep; Dikici, Buse; Demir, Seniz
In recent years, large language models have demonstrated extraordinary capabilities in natural language processing tasks. The integration of these models to text summarization has highlighted the need for evaluating varying model performances under a standardized benchmarking framework. In this study, the performance of different large language models in generating abstracts of scientific papers which has a common structure and unique language is compared through an extensive experimental analysis. The abstracts automatically generated by these models using prompt engineering were evaluated via various evaluation metrics based on content overlap and semantic similarity. The results that we obtained demonstrated the effectiveness of large language models in abstract generation. © 2025 Elsevier B.V., All rights reserved.
Citation - Scopus: 9
Çocuklarda Sınav Kaygısı Ölçeği'nin Türkçe Uyarlaması
(İlköğretim Online, 2017) Bulgan, Gökçe; Aydın, Utkun
The purpose of this study was to adapt the “Children’s Test Anxiet Scale (CTAS)” developed by Wren and Benson (2004) into Turkish. The original scale was in English and comprised of three factors including 30 items. Seven experts were involved in the adaptation process to translate the scale into Turkish and then back to English for providing evidence based on the consistency between the two forms. Following the translation process, a pilot study was conducted and the scale was given its final form. The Turkish form was administered to 1100 students who were attending to 3rd, 4th, 5th, and 6th grade classes in 3 public schools. Findings regarding the construct validity of the scale, which were obtained from the confirmatory analysis, supported the three-factor structure of the original scale. Subdimensions of the scale were Thoughts, Off-Task Behaviors, and Autonomic Reactions. Cronbach Alpha coefficients for the overall scale (???= .88) as well as the subdimensions of Thoughts (???= .82), Off-Task Behaviors (???= .72), and Autonomic Reactions (???= .75) were substantial in size. Regarding the discriminant validity analyses, there were no significant gender differences in students’ test anxiety while there were significant grade level differences. These results demonstrated that the Turkish version of the scale is a valid and reliable instrument, which may serve as useful in measuring elementary school students’ test anxiety levels. Directions for future research and practical implications for educational practice are discussed in terms of mathematics education.
Citation - WoS: 3
Citation - Scopus: 3
Microzonation With Respect To Ground Shaking Intensity
(CRC Press/Balkema, 2019) Tönük, Gökçe; Kurtuluş, Aslı; Ansal, Atilla
Seismic microzonation is conducted to assess the seismic hazard on the ground surface with respect to ground shaking intensity. A probabilistic seismic hazard study is conducted to define earthquake characteristics on the rock outcrop. A grid system is generated to divide the investigation area into cells according to geological and geotechnical data. Site characterizations are based on available information to define soil profiles for each cell with soil stratifications and shear wave velocities extending down to the engineering bedrock. Site-specific 1D site response analyses are carried out for all soil profiles, based on the engineering properties of encountered soil layers, selection and scaling of the sufficient number of input acceleration time histories compatible with the regional seismicity and earthquake source characteristics. The microzonation study carried out for Zeytinburnu town on the European side of Istanbul with respect to ground shaking intensity is presented. The importance of the selection of the microzonation parameters for assessing ground shaking intensity is discussed. © 2019 Associazione Geotecnica Italiana, Rome, Italy.
Citation - Scopus: 5
The Euphrates–Tigris River Basin
(Cambridge University Press, 2021) Kibaroğlu, Ayşegül
This interdisciplinary volume examines how nine arid or semi-arid river basins with thriving irrigated agriculture are doing now and how they may change between now and mid-century. The rivers studied are the Colorado, Euphrates-Tigris, Jucar, Limarí, Murray-Darling, Nile, Rio Grande, São Francisco, and Yellow. Engineered dams and distribution networks brought large benefits to farmers and cities, but now the water systems face multiple challenges, above all climate change, reservoir siltation, and decreased water flows. Unchecked, they will see reduced food production and endanger the economic livelihood of basin populations. The authors suggest how to respond to these challenges without loss of food production, drinking water, or environmental health. The analysis of the political, hydrological, and environmental conditions within each basin gives policymakers, engineers, and researchers interested in the water/sustainability nexus a better understanding of engineered rivers in arid lands.
Executive Remuneration of Company Directors Under Eu Law and Turkish Law
(Istanbul University Press, 2023) Özcanlı, Fatma Beril
The criteria to determine the material scope of executive pay has always been a controversial aspect of corporate law and corporate governance. The controversy stems from the fact that the board of directors generally tends to determine a suitable executive remuneration for its members, not considering the interests of other stakeholders. In some cases, an independent compensation/remuneration committee is appointed by the board of directors and determines the amount of executive pay. Depending on the legislation, this may require additional approval at the annual general meeting by the shareholders. European legislators have differing approaches with regards to regulating this very area of corporate pay. The revised Shareholders Rights Directive requires an enhanced approach for the shareholders' role by determining the remuneration policy of the company. These amendments can be identified as the promotion of the say on pay, on the remuneration policy, and remuneration report. Furthermore, the previous recommendations have also set the criteria to determine the amount of remuneration. The Directive contains provisions for setting up a clear and transparent corporate remuneration policy and shareholders' binding vote with temporary derogations. The corporate remuneration system of Turkish law is legislated under Art. 394 TCC (Turkish Commercial Code Nr. 6102), which only requires that board members can be paid an honorarium, salary, bonus, premium, and a portion of the annual profit, provided that this amount is determined by the articles of association, or by way of a general meeting resolution. Art. 408 TCC also stipulates a binding general meeting approval of the remuneration policy, whereas Art. 513 TCC requires the framework with regard to bankruptcy procedures. © 2023 Istanbul University Press. All rights reserved.
Quantum Approaches To the 0/1 Multi-Knapsack Problem: Qubo Formulation, Penalty Parameter Characterization and Analysis
(Science and Technology Publications, Lda, 2025) Güney, Evren; Ehrenthal, J.; Hanne, T.
The 0/1 Multi-Knapsack Problem (MKP) is a combinatorial optimization problem with applications in lo gistics, finance, and resource management. Advances in quantum computing have enabled the exploration of problems like the 0/1 MKP through Quadratic Unconstrained Binary Optimization (QUBO) formulations. This work develops QUBO formulations for the 0/1 MKP, with a focus on optimizing penalty parameters for encoding constraints. Using simulation experiments across quantum platforms, we evaluate the feasibility of solving small-scale instances of the 0/1 MKP. The results provide insights into the challenges and opportuni ties associated with applying quantum optimization methods for constrained resource allocation problems. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.
Analyzing Consumer Behavior: the Impact of Retro Music in Advertisements on a Chocolate Brand and Consumer Engagement
(IEEE, 2023) Girişken, Yener; Soyaltın, Tuğçe Ezgi; Filiz, Gözde; Çakar, Tuna; Türkyılmaz, Ceyda Aysuna
This study presents research utilizing binary classification models to analyze consumer behaviors such as chocolate consumption and retro music ad viewing. Retro music, with its potential to evoke nostalgic feelings in consumers, is used in advertisements, which can have a significant impact on brand perception and consumer engagement. Firstly, a model focusing on chocolate consumption was developed and tested. The model yields significant outcomes. Secondly, a model based on retro music ad viewing status was developed and tested. Significant potential findings were obtained. This study emphasizes the applicability of effective classification models that can be used to understand and predict consumer behaviors, yielding significant outcomes.

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