• DSPCI-MTL: Dynamic Split Point Computing in Multi-task Learning Implementation with Collaborative Intelligence 

  Şahin, M.Faruk; Yeganli, S. Faegheh; Kiani, Farzad (Elsevier, 2025)

  Deep Neural Networks (DNNs) have become a crucial technology in image processing, renowned for their ability to generate effective feature maps. The integration of DNNs within Internet of Things (IoT) environments, ...

• A Novel Two-Stage Fuzzy Classification Method with Different Weight Permutations for Optimal Gis-Based Placement of Wellness and Sports Centers 

  Razavian, Behnam; Seyedbeiglou, Seyed Masoud Hamed; Tirkolaee, Erfan Babaee; Anka, Ferzat (Elsevier, 2025)

  The optimal placement of wellness and sports centers is critical to maximizing their accessibility, effectiveness, and impact on public health. Strategic location planning ensures that these facilities are conveniently ...

• Influence of Initial Grain Size on the Formation of Sigma and its Effect on Corrosion and Wear Properties of 2205 Duplex Stainless Steel 

  Kısasöz, Burçin Özbay (Elsevier, 2025)

  In this work, grain size dependent sigma phase formation was studied in AISI 2205 alloy. For this purpose, samples with two different grain sizes were held at 800 ◦C for 15 min and 60 min followed by quenching. Moreover, ...

• 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 ...

• A Bioinspired Method for Optimal Task Scheduling in Fog-Cloud Environment 

  Anka, Ferzat; Tejani, Ghanshyam G.; Sharma, Sunil Kumar; Baljon, Mohammed (Tech Science Press, 2025)

  Due to the intense data flow in expanding Internet ofThings (IoT) applications, a heavy processing cost and workload on the fog-cloud side become inevitable. One of the most critical challenges is optimal task scheduling. Since ...

• 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 ...

• Multianalytical Characterization of Byzantine Wall Paintings by SEM-EDX, μ-XRD, Raman and FTIR Techniques 

  Şimşek, Onur; Özbaş, Fatih; Kaygısız, Ersin; Yaşayan, Gözem; Ildız, Gülce Öğrüç (Tübitak, 2025)

  In this study, various analytical methods were employed to examine the mineral based natural pigments in the frescoes of the medieval (9th century) Byzantine church, known today as the Atik Mustafa Pasha Mosque. The ...

• Examining the Effective Role of Artificial Intelligence in the Interconnected Crisis of Climate Change and Human Migration 

  Anka, F.Aysin; Erenel, Fahri; Kiani, Farzad (Elsevier, 2025)

  Introduction: Climate change is a key driver of human migration, particularly in regions facing resource scarcity and extreme weather events. Understanding migration patterns is essential for effective policy responses. ...

• Machine Learning Regression for Assessing Sensing Performance and Anticancer Potential of Oolong Tea-Derived Silver Nanoparticles 

  Sert, Esra; Kalındemirtaş, Ferdane Danışman; Karakuş, Emir Ersel; Erol, Ayşe; Özbaş, Fatih; Küçükdeniz, Tarık; Karakuş, Selcan (The Electrochemical Society (ECS), 2025)

  In this study, machine learning (ML) algorithms were employed to predict analyte concentrations using sensing results and evaluate the anticancer effects of nanostructures. Multifunctional oolong tea extract-mediated silver ...

• Evaluation of Lattice Material Suitability for Additive Manufactured Gears under Compression Loads 

  Çalışkan, Cemal İrfan; Khan, Hamaid Mahmood; Özer, Gökhan; Bulduk, Mustafa Enes; Coşkun, Mert (Springer, 2025)

  Lattice structures have gained increasing prominence in modern applications due to their advantageous traits such as lightweightness, energy absorption capacity without compromising strength. Additive manufacturing processes ...

• A Deep Learning Multi-feature Based Fusion Model for Predicting The State of Health of Lithium-ion Batteries 

  Sonthalia, Ankit; Josephin, J.S. Femilda; Varuvel, Edwin Geo; Chinnathambi, Arunachalam; Subramanian, Thiyagarajan; Kiani, Farzad (Elsevier, 2025)

  Lithium-ion batteries have become the preferred energy storage method with applications ranging from consumer electronics to electric vehicles. Utilization of the battery will eventually lead to degradation and capacity fade. ...

• Advances in Drug Targeting, Drug Delivery, and Nanotechnology Applications: Therapeutic Significance in Cancer Treatment 

  Çiftçi, Fatih; Özarslan, Ali Can; Kantarcı, İmran Çağrı; Yelkenci, Aslıhan; Tavukçuoğlu, Özlem; Ghorbanpour, Mansour (Multidisciplinary Digital Publishing Institute (MDPI), 2025)

  In the 21st century, thanks to advances in biotechnology and developing pharmaceutical technology, significant progress is being made in effective drug design. Drug targeting aims to ensure that the drug acts only in the ...

• Mechanical Performance and ANN-Based Prediction of Co-Cr Dental Alloys with Gyroid Cellular Structures Produced by LPBF Technology 

  Çalışkan, Cemal İrfan; Şahin, Meryem; Koca, Aliihsan; Tarakçı, Gürkan; Okbaz, Abdulkerim; Dalkılıç, Ahmet Selim (Sage, 2025)

  Gyroid structures exhibit significant potential in the fields of lightweight structural design, heat transfer, energy absorption, and biological applications. The use of gyroid for implants in dentistry is currently not ...

• Mechanical Strength Investigation of Gyroid Design Parameters in Titanium Fixed Partial Denture Frameworks Manufactured by Additive Manufacturing 

  Çalışkan, Cemal İrfan; Khan, Hamaid Mahmood; Koca, Aliihsan; Şahin, Meryem; Tarakçı, Gürkan; Sivri, Burak (Springer, 2024)

  Additive manufacturing (AM) has emerged as a highly effective method within the biomedical field, particularly in prosthetic applications, where it offers numerous advantages such as reduced weight and improved user ...

• Comparison of The Mechanical Properties and Drilling Performance of The AISI 316 Parts Produced with Casting, LPBF and WAAM 

  Kocaman, Engin; Köklü, Uğur; Morkavuk, Sezer; Coşkun, Mert; Koçar, Oğuz; Dilibal, Savaş; Gürol, Uğur (Springer, 2024)

  AISI 316 stainless steel parts are widely utilized in many industrial fields with a vast scope of applications. These steel parts, which are used in many fields, can be produced using different production methods, but the ...

• The Combined Effect of Energy Density and Hollow Microspheres Additive on Structural and Wear Properties of Polyamide 11 Composites Produced Via Selective Laser Sintering 

  Cingöz, Umut Can; Kısasöz, Burçin Özbay; Kısasöz, Alptekin (Elsevier, 2025)

  This study investigated the production and properties of polyamide 11 matrix hollow ceramic microsphere reinforced composites. The composites were produced at 10 wt% and 20 wt% reinforcement ratios by selective laser ...

• A Novel Form “Bubble Microstructure” in LPBF and Investigation of Its Mechanical Strength on TPMS‑Gyroid 

  Çalışkan, Cemal İrfan; Özer, Gökhan; Khan, Hamaid Mahmood (Springer, 2024)

  In our previous research within the scope of process parameters change, the innovative 30 μm synchronous scanning strategy (SSS) in the Laser Powder Bed Fusion production system and the effect of this scanning strategy ...

• Microstructure Evolution of AlSi10Mg Alloy in RAP Process 

  Tütük, İbrahim; Acar, Serhat; Özer, Gökhan; Güler, Kerem Altuğ (De Gruyter, 2024)

  With its computer-aided layer-by-layer production approach, additive manufacturing (AM) and powder bed laser fusion (PBLF) paved the way to produce metallic parts more precisely than any other manufacturing technique. However, ...

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