• CSA-DE-LR: enhancing cardiovascular disease diagnosis with a novel hybrid machine learning approach 

  Dedeturk, Beyhan Adanur; Dedeturk, Bilge Kagan; Bakir-Gungor, Burcu (PEERJ INC, 2024)

  Cardiovascular diseases (CVD) are a leading cause of mortality globally, necessitating the development of efficient diagnostic tools. Machine learning (ML) and metaheuristic algorithms have become prevalent in addressing ...

• Basalt Fiber Reinforced Polymers: A Recent Approach to Electromagnetic Interference (EMI) Shielding 

  Fareez, Umar Naseef Mohamed; Loudiy, Aymen; Erkartal, Mustafa; Yilmaz, Cagatay (WILEY Online Library, 2025)

  Electromagnetic wave (EMW) radiation pollution is getting more severe as result of the advancement of electronic technology. Researching shielding materials with superior EMI (electromagnetic interference) shielding ...

• APPLICATION OF HOOKE’S LAW TO ANGLE PLY LAMINA 

  Yılmaz, Çağatay; Ali, Hafiz Qasim; Yıldız, Mehmet (ESKİŞEHİR TEKNİK ÜNİVERSİTESİ, 2022)

  Aerospace-grade carbon fiber reinforced polymer composite plates with four different fiber orientations 0º, 30º, 45ºand 60º is produced with the autoclave curing method and subjected to tensile testing. The stress-strain ...

• Dron ve Arabalar gibi Hareketli Platformların İletişimine Yönelik Farklı Rezonanslarda Konik Radyasyon ve Konik Tarama Yapılmasına Olanak Sağlayan Çift Taraflı E Şeklindeki Düzlemsel Dizi Yama Antenlerin Tasarımı ve Geliştirilmesi 

  Kılıç, Veli Tayfun; Tosun, Hüseyin; Şanlıer, Şaban Duran (2023)

  Bu projede dron ve arabalar gibi hareketli platformların iletişimine yönelik farklı rezonanslarda konik yayılım ve konik tarama yapılmasına olanak sağlayan çift taraflı E şeklindeki anten elemanlarından oluşan düzlemsel ...

• Deneysel İktisadın Tarihi 

  Erkuş,Sefa; Demirtaş, Burak Kağan (Mustafa SÜLEYMAN ÖZCAN, 2023)

  Bu çalışmanın temel amacı Türkçe yazında görece yeni olan deneysel iktisat alanına, iktisatta kontrollü deneylerin kullanımının tarihsel gelişimine ilişkin referans olabilecek şekilde katkı sunmaktır. Şüphesiz ki deneysel ...

• Can artificial intelligence algorithms recognize knee arthroplasty implants from X-ray radiographs? 

  Gölgelioğlu, Fatih; Aşkın, Aydoğan; Gündoğdu, Mehmet Cihat; Uzun, Mehmet Fatih; Dedeturk, Bilge Kagan; Yalın, Mustafa (MediHealth Academy, 2023)

  Aims: This study aimed to investigate the use of a convolutional neural network (CNN) deep learning approach to accurately identify total knee arthroplasty (TKA) implants from X-ray radiographs. Methods: This retrospective ...

• Pi3k-Akt-Mtor Yolağı Ve Histon Deasetilaz Enzimlerinin Hedeflenmesinin Akut Myeloid Lösemi Hücreleri Üzerine Antitümör Etkisinin Incelenmesi 

  Gencer Akçok, Emel Başak; Şansaçar, Merve; Karaca, Münevver; Okur, Tuğba (TÜBİTAK, 2022)

  Akut Miyeloid Lösemi (AML), periferik kan, kemik iliği, dalak ve karaciğerde blast adı verilen olgunlaşmamış miyeloid hücrelerin birikmesiyle karakterize edilen ve sonunda hematopoietik maligniteye yol açan bir hastalıktır. ...

• A NEW RATIONAL CLASSIFICATION APPROACH BY THE NEW MIXED DATA BINARIZATION METHOD 

  Sütçü, Muhammed; Gülbahar, İbrahim Tümay (Süleyman Demirel Üniversitesi, 2023)

  Classification algorithm is a supervised learning technique that is used to identify the category of new observations. However, in some cases, quantitative and qualitative data must be used together. With this approach, ...

• A Research on Biophilic Design Patterns: The Case of AGU as a Biophilic Campus 

  Yılmaz, Şeyma Ezgi; Ayten, Asım Mustafa (KONYA TEKNİK ÜNİVERSİTESİ, 2023)

  Examining the biophilic elements in education campuses, which are a smallerscale representation of urban areas, would be an example of urban-scale human– nature improvements. In this context, this article aims to analyze ...

• EVALUATION OF THE CAPACITY OF APRON FEEDERS USED IN CRUSHING–SCREENING PLANTS BY RESPONSE SURFACE METHODOLOGY AND ARTIFICIAL INTELLIGENCE METHODS 

  Köken, Ekin (Muğla Sıtkı Koçman Üniversitesi, 2024)

  In this study, the capacity (Q) of Apron feeders is investigated through response surface methodology (RSM) and some artificial intelligence methods. In this regard, a comprehensive field survey is performed to compile ...

• Karadeniz Bölgesi’nde Kurak ve Nemli Dönemlerin SPI Yöntemi Kullanılarak Belirlenmesi 

  Öztürk, Yasemin Deniz; Ünlü, Ramazan (Artvin Çoruh Üniversitesi/Artvin Çoruh University, 2024)

  Karadeniz bölgesi Türkiye’nin en çok yağış alan bölgesidir. Ancak Karadeniz Bölgesi’nde yağışlar hem yıllar arasında hem de bölge içerisinde önemli farklılıklara sahiptir. Bu durum bölgede kuraklıkların yaşanabilmesine ...

• Machine Learning based Network Intrusion Detection with Hybrid Frequent Item Set Mining 

  Fırat, Murat; Bakal, Gokhan; Akbas, Ayhan (GAZİ ÜNİVERSİTESİ, 2024)

  With the development and expansion of computer networks day by day and the diversity of software developed, the damage that possible attacks can cause is increasing beyond the predictions. Intrusion Detection Systems ...

• Role of pretty nanoflowers as novel versatile analytical tools for sensing in biomedical and bioanalytical applications 

  Dadi,Seyma; Ocsoy,Ismail (Wiley-Online Library, 2024)

  In recent years, an encouraging breakthrough in the synthesis of immobilized enzymes in flower‐shaped called “organic‐inorganic hybrid nanoflowers (hNFs)” with greatly enhanced catalytic activity and stability were ...

• Hemispherical-shell-shaped organic photovoltaic cells for absorption enhancement and improved angular coverage 

  Hah, Dooyoung (SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 2024)

  A hemispherical shell shape is proposed for an organic photovoltaic cell structure, aiming at enhancing both light absorption and angular coverage. Three-dimensional finite element analysis method is used to study the ...

• Revolutionizing dermatology: harnessing mesenchymal stem/stromal cells and exosomes in 3D platform for skin regeneration 

  Bicer,Mesude (Springer Nature Link, 2024)

  Contemporary trends reveal an escalating interest in regenerative medicine-based interventions for addressing refractory skin defects. Conventional wound healing treatments, characterized by high costs and limited efficacy, ...

• Review of feature selection approaches based on grouping of features 

  Kuzudisli,Cihan; Gungor-Bakır, Burcu; Bulut, Nurten; Qaqish, Behjat; Yousef, Malik (PeerJ, 2023)

  With the rapid development in technology, large amounts of high-dimensional data have been generated. This high dimensionality including redundancy and irrelevancy poses a great challenge in data analysis and decision ...

• The Inter-Relationships of Territorial Quality of Life with Residential Expansion and Densification: A Case Study of Regions in EU Member Countries 

  Ustaoglu, Eda; Williams, Brendan (MDPI, 2024)

  High-density urban development is promoted by both global and local policies in response to socio-economic and environmental challenges since it increases mobility of different land uses, decreases the need for traveling, ...

• Revolutionizing dermatology: harnessing mesenchymal stem/stromal cells and exosomes in 3D platform for skin regeneration 

  Bicer, Mesude (SPRINGER NATURE LINK, 2024)

  Contemporary trends reveal an escalating interest in regenerative medicine-based interventions for addressing refractory skin defects. Conventional wound healing treatments, characterized by high costs and limited efficacy, ...

• Development of Comprehensive Predictive Models for Evaluating Böhme Abrasion Value (BAV) of Dimension Stones Using Non-Destructive Testing Methods 

  Köken, Ekin (MDPI, 2025)

  Due to the global demand for dimension stones, fast and reliable evaluation tools are essential for assessing the quality of dimension stones. For this reason, this study aims to develop comprehensive tools for estimating ...

• Four Switch Buck-Boost Quasi Single-Stage Inverter with Smooth Mode Transition Using Three-Mod Modulation Technique 

  Keskinkılıç, Ebubekir; Tekgun, Burak (IEEE, 2024)

  Quasi-single-stage inverters (QSSI) attract attention due to their simple structure and bidirectional operation capability. However, in the buck-boost DC-DC conversion stage, smooth transition, and efficient conversion ...

Daha Fazla