• House Price Dynamics in Istanbul: District-level Analysis of Convergence Clubs, Spillovers, and Key Drivers 

  Gündüz, Lokman; Çakır, Mustafa; Cepni, Oğuzhan (Borsa Istanbul Review, 2024)

  This study analyzes the dynamics of house prices across Istanbul's districts using a unique dataset of house prices and socioeconomic characteristics from 2010Q1 to 2022Q1. The log-t convergence test identifies four ...

• A Project-Based Learning Approach to Supply Chain Mapping Education 

  Ashraf, Muhammad Hasan; Özpolat, Koray; Yalçın, Mehmet G.; Shah, Piyush (Elsevier, 2025)

  Although recent disruptions have revealed the importance of supply chain mapping, there is a lack of academic content in this domain. This is evident because supply chain management textbooks and pedagogical articles ...

• 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 ...

• Optimization of Morris Water Maze Protocols: Effects of Water Temperature and Hypothermia on Spatial Learning and Memory in Aged Female Rats 

  Oran, Duygu Sultan; Temel, Zeynep; Başer, İbrahim Gökşin; Temizyürek, Arzu; Selcan, Ayşin (Turkish Geriatrics Society, 2024)

  Aging is a highly complex process driven by a multitude of factors. The use of humans in aging research is complicated by many factors (ethical issues; environmental and social factors; long natural life span). ...

• Çocuk ve Mimarlık: Çocukların Çizimlerinden Kenti ve Kentsel Mekânı Okumak 

  Burkut, Emine Banu (NEU Press, 2024)

  Çocukların yaşadıkları kentle kurdukları ilişkiyi anlamanın birçok yolu bulunmaktadır. Fakat yaşam çevrelerinin zihinsel süreçlerden geçerek çizime aktarılması, farklı disiplinlerin araştırma konusu olmuştur. Literatürde ...

• Art and Museums in the Digital Age: An Overview of the Concepts and Spatial Design 

  Burkut, Emine Banu; Tekin, Seçkin; Dal, Murat (Art and Design (OJAD), 2025)

  Starting in the 20th century, with the acceleration of technological developments, the increasing use of technology, and the change in social structures due to the computer or the internet, there has been a transition to ...

• 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 ...

• İç Mimarlık Eğitiminde Deneyim Odaklı İnformel Bir Model Önerisi Olarak Mimari Fotoğraf 

  Dişkaya, Feyza Nur; Altuncu, Damla; Karabetça, Aliye Rahşan (İstanbul Kültür Üniversitesi, 2024)

  İç mimarlık eğitimi, öğrencilerin temel beceriler kazanmalarının yanı sıra, günlük deneyimler ve informel öğrenme yoluyla edinilen bilgileri daha etkin kullanabilmeleri için yenilikçi yöntemlere ihtiyaç duymaktadır. Bu ...

• Geçmiş, Bugün ve Gelecek Bağlamında: Mimarlığın Çocuklara-Çocukların Mimarlığa Bakışı 

  Burkut, Emine Banu (VakıfBank Kültür Yayınları, 2024)

  Dr. Emine Banu Burkut ise “Geçmiş, Bugün ve Gelecek Bağlamında: Cumhuriyet Dönemi Mimarlığının Çocuklara, Çocukların Mimarlığa Bakışı” çalışmasında Cumhuriyet’i çözümlerken bu kez merkeze çocuklar için mimariyi ve mimarlık ...

• 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 ...

• Logistics Digitalization and The Third-Party Logistics Blue-Collar Employees Performance: The Role of Paradoxical Leader Behavior 

  Ashraf, Muhammad Hasan; Triki, Anis; Yalçın, Mehmet Gökhan (Emerald, 2024)

  Purpose – This study examines the impact of third-party logistics (3PL) supervisors’ paradoxical leader behavior (PLB) on the relationship between logistics digitalization and 3PL blue-collar employee performance. 3PLs ...

• 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 ...

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