Bilgisayar Mühendisliği Bölümü: Recent submissions
Now showing items 1-20 of 196
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Parameter Tuning for Combinatorial Bees Algorithm in Travelling Salesman Problems
(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
(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
(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
(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
(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
(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
(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
(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 ... -
İyileştirilmiş Görüntü Sınıflandırma Performansı için Hibrit ESA-Ağaç Temelli Bir Model
(IEEE, 2024)Kan hücreleri, enfeksiyonlara karşı koruma ve vücudu savunma gibi çeşitli vücut fonksiyonlarında önemli bir rol oynar. Genel olarak kırmızı, beyaz ve trombosit olarak gruplanabilen kan hücrelerinin doğru bir şekilde ... -
L2D2: A Novel LSTM Model for Multi-Class Intrusion Detection Systems in the Era of IoMT
(İEEE, 2025)The rapid growth of IoT has significantly changed modern technology by allowing devices, systems, and services to connect easily across different areas. Due to the growing popularity of Internet of Things (IoT) devices, ... -
Advances in Sand Cat Swarm Optimization: A Comprehensive Study
(Springer, 2025)This study provides an in-depth review and analysis of the nature-inspired Sand Cat Swarm Optimization (SCSO) algorithm. The SCSO algorithm effectively focuses on exploring solution areas inspired by sand cat hearing and ... -
Neural Architecture Search for Biomedical Image Classification: A Comparative Study Across Data Modalities
(Elsevier, 2025)Deep neural networks have significantly advanced medical image classification across various modalities and tasks. However, manually designing these networks is often time-consuming and suboptimal. Neural Architecture ... -
Benzetimli Tavlama ile Doğal Afetlerde Kurtarma Birimlerinin Tahsisi ve Çizelgelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2024)Günümüzde dünya genelinde ve özellikle ülkemizde sıkça meydana gelen do˘gal afetler, can kaybı ve mal kaybına yol açarak ciddi sorunlara neden olmaktadır. Bu sorunların azaltılabilmesi için kurtarma ekiplerinin etkin ... -
Hyperparameter Optimization in Deep Learning-Based Object Detection of Branching and Endpoints on 2D Brain Vessel Images
(Institute of Electrical and Electronics Engineers Inc., 2024)This work presents a deep learning-based object detection technique for identifying branches and endpoints in two-dimensional brain vessel images alongside its hyperparameter optimization. Although traditional image ... -
Advances in Artificial Rabbits Optimization: A Comprehensive Review
(Springer, 2024)This study provides an in-depth review and analysis of the Artificial Rabbit Optimization (ARO) algorithm inspired by the survival strategies of rabbits. The ARO tries to find the global solution in the search space ... -
A Vector Autoregression-Based Algorithm for Dynamic Many-Objective Optimization Problems
(Scitepress, 2024)Dynamic Many-Objective Optimization Problems (DMaOPs) represent a significant challenge due to their inherent dynamism and the presence of a large number of objectives. In addressing this complexity, this paper proposes ... -
Efficiency‑Sustainability Models to Assess Blockchain Adoption Strategies with Uncertainty in the Oil and Gas Sector
(Springer, 2024)The Oil and Gas (O&G) supply chain, vital for energy delivery, faces challenges such as excessive paperwork, limited transparency, and sustainability issues due to conventional governance methods. This study develops a ... -
A Novel Solution Approach Based on Dominance Evaluation Measure for Project Scheduling in Multi-Project Environments
(MDPI, 2024)The widely recognized measure for resources called resource strength (RS) does not fully capture the resources complexity of a project. Therefore, it cannot be used as a standalone measure to distinguish the complexity ... -
Analysis of Code Similarity with Triplet Loss-Based Deep Learning System
(Springer, 2024)Nowadays, several plagiarism detection tools based on static code features are available for code similarity detection. The application of deep learning in this domain represents an emerging area of research. This research ... -
BioNAS: Neural Architecture Search for Multiple Data Modalities in Biomedical Image Classification
(Springer, 2024)Neural Architecture Search (NAS) for biomedical image classification has the potential to design highly efficient and accurate networks automatically for tasks from different modalities. This paper presents BioNAS, a ...
