• Depremdeki Riskli Yapıların Beton Performansının Yapay Öğrenme Yöntemleri İle Değerlendirilmesi 

  Sağlam, Muhammet Mustafa; Önal, Ömer Yasir; Keskin, Murat; Kuş, Zeki; Göncü, Sadullah; Çakır, Özgür; Anıl, Emrecan; Ayvallı, Fatimenur; Tanrıverdi, Hakan; Yıldırım, Doğan (IEEE, 2025)

  Yapı malzemelerinin dayanımını tahmin etmek günümüzde depremlere karşı önlem almak için çok hayati bir süreçtir. Bu sürecin maliyetini düşürerek etkinliğini arttırmak olası can kayıplarının önüne geçmesini sağlayabilir. ...

• Histopatoloji Görüntülerinin Sınıflandırılması için Sinir Mimarisi Arama 

  Koç, Semiha; Kuş, Zeki; Kiraz, Berna; Aydın, Musa (IEEE, 2025)

  Histopatoloji görüntülerinin otomatik sınıflandırılması tıbbi tanı süreçlerinde önemli rol oynamaktadır. Son yıllarda, sinir mimarisi arama yöntemleri derin ögrenme modellerinin otomatik olarak tasarlanmasını saglayarak ...

• Beyaz Kan Hücresi Tespitinde YOLO Tabanlı Modellerin Deneysel Karşılaştırması 

  Yarıkan, Atıf Eren; Öztek, İrem Eylül; Kuş, Zeki; Kiraz, Berna; Kiraz, Alper (IEEE, 2025)

  Bağışıklık sisteminin temel bileşenlerinden biri olan beyaz kan hücrelerinin tespit edilmesi, sınıflandırılması ve analizlerinin yapılması enfeksiyon ve kanser gibi hastalıkların teşhisi için büyük önem taşımaktadır. Bu ...

• Fake News Detection on Social Media Data using Community Notes with Machine Learning 

  Bozkuş, Mehmetcan; Arıcı, Elifnaz; Zeybek, Sultan (IEEE, 2025)

  The spread of misinformation on digital platforms has become a critical issue that requires the development of effective detection mechanisms. This study explores the use of machine learning techniques to classify fake ...

• Leukemia White Blood Cell Classification Using DenseNet121 Embeddings and Ensemble Learning 

  Göksu, Tuğçe; Kuş, Zeki; Aydın, Musa (IEEE, 2025)

  Leukemia diagnosis through white blood cell (WBC) classification remains challenging, requiring expert pathologists and significant time investment. This study presents a hybrid approach for leukemia WBC classification ...

• Detecting Spam Comments in Product Reviews on E-Commerce Websites 

  Atalı, Selin Sude; Kozlucalı, Betül; Zeybek, Sultan (IEEE, 2025)

  With the increasing use of e-commerce platforms, user reviews have become a major factor influencing customer decisions. However, the presence of spam comments—whether posted automatically or manually—negatively affects ...

• Latency-Aware and Energy-Efficient Task Offloading in IoT and Cloud Systems with DQN Learning 

  Benaboura, Amina; Bechar, Rachid; Kadri, Walid; Ho, Tu Dac; Pan, Zhenni; Sahmoud, Shaaban (MDPI, 2025)

  The exponential proliferation of the Internet of Things (IoT) and optical IoT (O-IoT) has introduced substantial challenges concerning computational capacity and energy efficiency. IoT devices generate vast volumes of ...

• Investigating Hepatic Fibrosis Heterogeneity by Threedimensional Imaging in Metabolic Dysfunction-Associated Steatotic Liver Disease 

  Yiğit, Buket; Özgönül, Ekin; Yaman, Ömer; Sipahioğlu, Tarık; Ulukan, Burge; Taş, Yağmur Çetin; Morova, Berna; Aydın, Musa; Uysallı, Yiğit; Demirtaş, Elif; Erkan, Mert; Tellioğlu, Gürkan; Atak, Dila; Özdemir, Yasemin Gürsoy; Karahüseyinoğlu, Serçin; Yurdaydın, Cihan; Akyıldız, Murat; Sheth, Abhishek; Aithal, Guruprasad Padur; Kırımlıoğlu, Hale; Dayangaç, Murat; Ferhanoğlu, Onur; Kiraz, Alper; Zeybel, Müjdat (Nature, 2025)

  Although liver biopsy is a well-established technique to assess fibrosis it has several limitations, including invasive nature, semi-quantitative assessment methods, significant sampling and observer variability, making ...

• Multi-teacher Based Knowledge Distillation for Retinal Vessel Segmentation 

  Eid, Abdullah; Aydin, Musa; Kuş, Zeki (Springer, 2025)

  Accurate segmentation of retinal vessels is crucial for the early diagnosis and management of various ocular diseases. Existing methods often struggle to segment thin vessels, leading to missed diagnoses and inaccurate ...

• Assessing the Impacts of Blockchain Technology on Supply Chain Efficiency: A Data‑Driven Integrated Decision‑Making Framework 

  Babaei, Ardavan; Tirkolaee, Erfan Babaee; Simic, Vladimir; Golpîra, Hêriş; Anka, Ferzat (Springer, 2025)

  The digitalization of supply chains enhances efficiency and aligns with the expectations of customers and suppliers. In data-intensive industries, such as Oil and Gas (O&G), blockchain technology, a key tool for supply ...

• Amulti-Strategy Chimp Optimization Algorithm for Solving Global and Constraint Engineering Problems 

  Anka, Ferzat (Springer, 2025)

  The chimp optimization algorithm (ChOA) is a recently introduced metaheuristic algorithm inspired by nature. This algorithm identified four types of chimpanzee groups: attacker, barrier, chaser, and driver, and proposed ...

• A Novel Hybrid Metaheuristic Method for Efficient Decentralized LoT Network Layouts 

  Anka, Ferzat (Elsevier, 2025)

  This paper introduces a Hybrid Genetic Particle Swarm Optimization (HGPSO) method focusing on optimal and efficient sensor deployment in Wireless Sensor Networks (WSNs) and Decentralized IoT (DIoT) networks. Effective ...

• Parameter Tuning for Combinatorial Bees Algorithm in Travelling Salesman Problems 

  Hartono, Natalia; İsmail, Asrul Harun; Zeybek, Sultan; Caterino, Mario; Jiang, Kaiwen; Şahin, Murat (AIP Conference Proceedings, 2023)

  Bees Algorithm is one of the most used nature-inspired algorithms. There are five parameters applied in the basic combinatorial version of Bees Algorithm: number of scout bees, number of elite bees, number of best bees, ...

• Towards Better Sentiment Analysis in the Turkish Language: Dataset Improvements and Model Innovations 

  Zümberoğlu, Kevser Büşra; Dik, Sümeyye Zülal; Karadeniz, Büşra Sinem; Sahmoud, Shaaban (MDPI, 2025)

  Sentiment analysis in the Turkish language has gained increasing attention due to the growing availability of Turkish textual data across various domains. However, existing datasets often suffer from limitations such as ...

• UKnow-Net: Knowledge-Enhanced U-Net for Improved Retinal Vessel Segmentation 

  Kuş, Zeki (Gazi Üniversitesi, 2024)

  Retinal vessel segmentation plays a critical role in diagnosing and managing ophthalmic and systemic diseases, as abnormalities in retinal vasculature can indicate disease progression. Traditional manual segmentation by ...

• Retina Damar Segmentasyonunda Sinir Mimarisi Arama İçin Farklı Kodlama Yöntemlerinin Karşılaştırılması 

  Kuş, Zeki; Kiraz, Berna (Marmara Üniversitesi, 2023)

  Retinal kan damar segmentasyonu dı̇yabetı̇k retı̇nopatı̇ ve yaşa bağli makula dejenerasyonu gibi göz hastalıklarının tespiti ve incelemesi açısından kritik bir görevdir. U-şekilli derin sinir ağlarının bu görev için başarılı ...

• Exploiting Eye Colors for Better Iris Segmentation in Visible Wavelength Environments 

  Sahmoud, Shaaban (Marmara Üniversitesi, 2024)

  Iris segmentation is a crucial step in iris recognition systems. Iris segmentation in visible wavelength and unconstrained environments is more challenging than segmenting iris images in ideal environments. This paper ...

• Çekişmeli Üretici Ağlar Kullanılarak Medikal Görüntülerin Sanal Hematoksilen ve Eozin (H&E) Boyanması 

  Aydın, Musa (Marmara Üniversitesi, 2024)

  Tıbbi görüntülerin sanal boyanması işlemi dijital patolojide önemli bir yaklaşım olarak görülmektir. Geleneksel doku boyama zaman alan, uzmanlık gerektiren, boyamanın uzmandan uzmana değişkenlik gösterdiği yoğun bir süreçtir. ...

• Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection 

  İslamoğlu, Ertuğrul; Adalı, Ömer Kerem; Aydın, Musa; Nizam, Ali (İEEE, 2025)

  Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is required to enhance code embedding ...

• RG‑ACA: Efficient and Adaptive Routing Method for Internet of Things Based on Metaheuristic Approach 

  Kiani, Farzad; Rad, Hamid (Springer, 2025)

  In Internet of Things (IoT) systems that use various and limited devices, efficient use of resources is critical. However, since this problem is inherently complex, an enhanced meta-heuristic approach is proposed. In ...

Daha Fazla