• 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 ...

• AI-Powered Prediction of Dental Space Maintainer Needs Using X-Ray Imaging: A CNN-Based Approach for Pediatric Dentistry 

  Yelkenci, Aslıhan; Polat, Günseli Güven; Öncü, Emir; Çiftçi, Fatih (MDPI, 2025)

  Space maintainers (SMs) are essential for preserving dental arch integrity after premature tooth loss. This study aimed to develop a deep learning model to predict the necessity of SMs and identify specific teeth requiring ...

• MXenes in Microbiology and Virology: from Pathogen Detection to Antimicrobial Applications 

  Saraç, Begüm; Yücer, Şeydanur; Çiftçi, Fatih (Royal Society of Chemistry, 2025)

  MXenes, a rapidly emerging class of two-dimensional materials, have demonstrated exceptional versatility and functionality across various domains, including microbiology and virology. Recent advancements in MXene synthesis ...

• Development and Characterization of a Polycaprolactone/Graphene Oxide Scaffold for Meniscus Cartilage Regeneration Using 3D Bioprinting 

  Özder, Melike Nur; Yelkenci, Aslıhan; Kuçak, Mine; Altınbay, Aylin; Üstündağ, Cem Bülent; Çiftçi, Fatih (MDPI, 2025)

  Meniscus injuries represent a critical challenge in orthopedic medicine due to the limited self-healing capacity of the tissue. This study presents the development and characterization of polycaprolactone/graphene oxide ...

• A New Monohydrogen Phosphate-Selective Carbon Composite Membrane Electrode for Soil Water Samples 

  Tavukçuoğlu, Özlem; Erçi, Vildan; Çiftçi, Fatih; Işıldak, İbrahim; Kasapoğlu, Muhammed Zahid (MDPI, 2025)

  This study focused on developing a novel composite phosphate-selective electrode for on-site and real-time applications using a silver polyglutaraldehyde phosphate and carbon nanotube (CNT) matrix. CNT-silver polyglutaraldehyde ...

• Effects of Liquid Sloshing in Storage Tanks: An Overview of Analytical, Numerical and Experimental Studies 

  Gani, Emre; Öztürk, Sezer; Sarı, Ali; Cengiz, Taner Mustafa (Springer, 2025)

  Liquid storage tanks are essential components widely used across various industrial sectors. In addition to the internal liquid pressure and weight, these tanks are influenced by several external factors, such as wind, ...

• 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, ...

• Effects of Forearm Muscle Fatigue on Classification Performance in sEMG-Based Hand Gesture Recognition 

  Yol, Şeyma; Aydın, Müberra; Söyünmezoğlu, Şayeste; Başpınar, Ulvi; Şafak, Cengiz (IEEE, 2024)

  Hand gestures can be identified by using surface electromyography (sEMG) of the upper limb, which measures the electrical activity of skeletal muscles. Hand gesture recognition has recently become most commonly used ...

• Biomedical Applications of Wearable Biosensors 

  Bakri, Mais Haj; Özarslan, Ali Can; Erarslan, Azime; Elalmış, Yeliz Başaran; Çiftçi, Fatih (Next, 2024)

  Over the last decade, both scientific and commercial communities have focused on developing wearable sensors for biomedical use. These sensors monitor vital signs in various individuals, including patients, athletes, ...

• An Inset-Fed Rectangular Microstrip Patch Antenna with Multiple Slits For Sub 6GHz – 5G Applications 

  Kašibović, Alminko; İmeci, Şehabeddin Taha; Uslu, Ahmet Fehim (Research and Development Academy, 2023)

  This paper presents an inset feed rectangular microstrip patch antenna with multiple slits for sub 6 GHz - 5G Applications. This antenna is proposed with the development, design, running simulations, and finally a conclusion ...

• A Data-Driven Approach to Predict Hydrometeorological Variability and Fluctuations in Lake Water Levels a Data-Driven Approach to Predict Hydrometeorological Variability And Fluctuations in Lake Water Levels 

  Kesgin, Remziye İlayda Tan; Demir, İbrahim; Kesgin, Erdal; Abdelkader, Mohamed; Ağaçcıoğlu, Hayrullah (Polish Academy of Sciences (PAN) & Institute of Technology and Life Sciences – National Research Institute (ITP – PIB), 2023)

  Beyşehir Lake is the largest freshwater lake in the Mediterranean region of Turkey that is used for drinking and irrigation purposes. The aim of this paper is to examine the potential for data-driven methods to predict ...

• Hepsi Bir Arada Elektrikli Araç İstasyonu, Yenilenebilir Enerji Kaynakları ve Esnek Yükleri Içeren Bir Mikro Şebekenin Enerji Yönetimi İçin İki Seviyeli Stokastik Tabanlı Optimizasyon Modelinin Geliştirilmesi 

  Erdinç, Ozan; Çiçek, Alper; Erenoğlu, Ayşe Kübra; Taşçıkaraoğlu, Akın; FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü; Erenoğlu, Ayşe Kübra (Tübitak, 2023)

  Yerleşim alanlarının enerji tüketimi, küresel toplam enerji tüketiminin %27'sini oluşturmaktadır (Rafique vd., 2021). Ayrıca günümüzde enerji talebinin büyük bir bölümünün fosil kaynaklardan karşılandığı ve bu durumun ...

• 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 ...

• Elektrikli Araç Entegrasyonunun Dağıtım Sistemine Etkilerinin İncelenmesi ve Şarj İstasyonu Altyapısının Tayin Edilmesi 

  Yıldızhan, Dilan; Erenoğlu, Ayşe Kübra; Erdinç, Ozan (Süleyman Demirel Üniversitesi, 2022)

  Günümüzde hızla artan nüfusun paralelinde yaşamsal ihtiyaçlara bağlı tüketimler için ortaya çıkan teknolojik gelişmeler ve sanayileşme ile enerji ihtiyacı her geçen gün artmaktadır. İlgili enerji ihtiyacı daha çok konvansiyonel ...

• 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. ...

• Functional Bacterial Cellulose-Based MXene (Ti3C2Tx) Electronic-Skin Patch for Accelerated Healing and Monitoring 

  İlhan, Saliha Nur; Yılmaz, Bahar Akyüz; Çiftçi, Fatih (AMER ASSOC ADVANCEMENT SCIENCE, 2025)

  Objective: This study aims to develop and characterize electroactive hydrogels based on reduced bacterial cellulose (BC) and Ti3C2Tx-MXene for their potential application in wound healing and real-time monitoring. Impact ...

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