• Benzetimli Tavlama ile Doğal Afetlerde Kurtarma Birimlerinin Tahsisi ve Çizelgelenmesi 

  Şimşek, Yusuf İhsan; Kuvvet, Erdinç; Sümer, Yunus; Kiraz, Berna (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 ...

• Predicting Code Modifications using BERT Model and Code Histories 

  Aşık, Hüdayi; İslamoğlu, Ertuğrul; Nizam, Ali (Institute of Electrical and Electronics Engineers Inc., 2024)

  The use of deep learning-based techniques has emerged in various code analysis tasks. One of the most important tasks for refactoring and vulnerability detection is to identify points in the code that are likely to ...

• Hyperparameter Optimization in Deep Learning-Based Object Detection of Branching and Endpoints on 2D Brain Vessel Images 

  Kaya, Samet; Kiraz, Berna; Çamurcu, Ali Yılmaz (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 

  Anka, Ferzat; Ağaoğlu, Nazım; Nematzadeh, Sajjad; Torkamanian‑afshar, Masha (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 

  Karkazan, Kalthoum; Topçuoğlu, Haluk Rahmi; Shaaban, Sahmoud (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 

  Babaei, Ardavan; Tirkolaee, Erfan Babaee; Anka, Ferzat (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 Low-Cost Microwave Hybrid Biosensor for Glucose Concentration Sensing 

  Köse, Umut; Kartal, Mesut (IEEE, 2024)

  This study uses a hybrid biosensor consisting of a patch antenna with a defected ground plane and a frequencyselective surface (FSS) to detect glucose concentration in the microwave frequency region. The sensing mechanism ...

• A Novel Solution Approach Based on Dominance Evaluation Measure for Project Scheduling in Multi-Project Environments 

  Yousefzadeh, Hamid Reza; Tirkolaee, Erfan Babaee; Kiani, Farzad (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 

  Abdellatif, Abdelrahman Taha Abdeltawab; İslamoğlu, Ertuğrul; Nizam, Ali (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 

  Kuş, Zeki; Kiraz, Berna; Aydın, Musa; Kiraz, Alper (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 ...

• Wideband Compact 3-dB Microstrip Power Dividerfor L- and S-Band Applications 

  Demir, Kübra; İmeci, Şehabeddin Taha; Tütüncü, Bilal (IOP Science, 2024)

  This paper presents the analysis, design, built and testing of a new compact 3 dB power divideroperating across a wideband frequency range, with a 2.56 GHz center frequency. The proposed divider,consisting of three ports, ...

• MedSegBench: A Comprehensive Benchmark for Medical İmage Segmentation in Diverse Data Modalities 

  Kuş, Zeki; Aydın, Musa (Nature, 2024)

  MedSegBench is a comprehensive benchmark designed to evaluate deep learning models for medical image segmentation across a wide range of modalities. It covers a wide range of modalities, including 35 datasets with over ...

• Trend Stability Assessment for Hydrological Drought in Euphrates Basin (Türkiye) Using TripleWilcoxon Test and Innovative Trend Analysis Methods 

  Demirel, İbrahim Halil; Kesgin, Erdal; Güçlü, Yavuz Selim; Tan, R. İlayda; Başaran, Büşra (MDPI, 2024)

  This study investigates the stability of hydrological drought trends in the Euphrates Basin from 1960 to 2020 using three-dimensional (3D) graphical representations based on innovative trend analysis (ITA) and triple ...

• Green Synthesis of Silver Nanoparticles from Thymus Vulgaris and Sambucus Nigra Extracts in Poly (Vinyl Alcohol) Nanofiber Matrix: In Vitro Evaluation 

  Tavukçuoğlu, Özlem; Duygulu, Nilüfer Evcimen; Altınbay, Aylin; Çiftçi, Fatih (Elsevier, 2024)

  In the current study, silver nanoparticles (AgNPs) green synthesized from Thymus vulgaris (Thyme) and Sambucus nigra (black elderberry) (BE) extracts and added into poly (vinyl alcohol) (PVA) solution to achieve ...

• An Investigation on Seismic Behaviours of Vertical and Horizontal Cylindrical Liquid Storage Tanks 

  Öztürk, Sezer; Sarı, Ali (Springer, 2024)

  Storage tanks are structures widely used in industrial facilities for storing products such as oil, petroleum, and chemical liquids. Ensuring the protection of flammable and hazardous materials in these tanks during events ...

• Branch and End Points Detection in Cerebral Vessels Images Using Deep Learning Object Detection Techniques 

  Kaya, Samet; Kiraz, Berna; Çamurcu, Ali Yılmaz (Gazi Üniversitesi, 2024)

  In this study, we introduce a cutting-edge methodology for detecting branching and endpoints in two-dimensional brain vessel images, employing deep learning-based object detection techniques. While conventional image ...

• Virtual Birefringence Imaging and Histological Staining of Amyloid Deposits in Label-Free Tissue Using Autofluorescence Microscopy and Deep Learning 

  Yang, Xilin; Bai, Bijie; Zhang, Yijie; Aydın, Musa; Li, Yuzhu; Selcuk, Sahan Yoruc; Costa, Paloma Casteleiro; Guo, Zhen; Fishbein, Gregory A.; Atlan, Karine; Wallace, William Dean; Pillar, Nir; Özcan, Aydoğan (Nature, 2024)

  Systemic amyloidosis involves the deposition of misfolded proteins in organs/ tissues, leading to progressive organ dysfunction and failure. Congo red is the gold-standard chemical stain for visualizing amyloid deposits ...

• Recent Advances in Machine Learning Based Advanced Driver Assistance System Applications 

  Tatar, Güner; Bayar, Salih; Çiçek, Salih; Niar, Smail (Elsevier, 2024)

  In recent years, the rise of traffic in modern cities has demanded novel technology to support the drivers and protect the passengers and other third parties involved in transportation. Thanks to rapid technological progress ...

• Energy Efficiency Assessment in Advanced Driver Assistance Systems with Real‑Time Image Processing on Custom Xilinx DPUs 

  Tatar, Güner; Bayar, Salih (Springer, 2024)

  The rapid advancement in embedded AI, driven by integrating deep neural networks (DNNs) into embedded systems for real-time image and video processing, has been notably pushed by AI-specific platforms like the AMD Xilinx ...

• Forced Vibrations of an Elastic Triangular Plate Supported Around its Perimeter by a Unilateral Support Via the Chebyshev Polynomial Expansion 

  Celep, Zekai; Özcan, Zeki (Taylor & Francis, 2024)

  The present study introduces static and dynamic analysis of an elastic triangular plate on unilateral edge supports, including forced vibrations due to loading and unloading excitation. The plate is assumed to be subjected ...

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