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ENSTİTÜLERİzmir Katip Çelebi Üniversitesi Kurum Koleksiyonu
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Dip Coating of Metal Implants with Antibacterial Polymer Matrix for the Prevention of Implant Associated Infections

Emine Hilal Altıntop

The recent increase in life expectancy and changing living conditions have led to a rise in developments regarding implants, particularly in orthopedic implants. It is important to note that this statement is based on objective evidence and not subjective evaluations. Despite these advances, issues with metallic implants such as Ti, Ti alloy, Co-Cr alloy, and stainless steel (AISI 316L), which are currently preferred, persist. There are several limitations to implant materials, including corrosion due to the physiological environment, bacterial infection, and biofilm formation. Although ...Daha fazlası

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Inventory and Asset Tracking Application

Aıda Ulutaş

The Inventory and Asset Tracking Application is a user-friendly web tool designed to help organizations keep track of their assets. It simplifies the process of managing and organizing different resources, making it easier for businesses to handle their belongings efficiently. With a straightforward interface and easy-to-use features, the app aims to improve how organizations handle their assets, providing a convenient solution for modern and reliable asset management. The application employs the .NET and .NET Core frameworks, with a focus on ASP.NET, Entity Framework, and SQLite for backend d ...Daha fazlası

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Heart Attack Analysis Detection System Using Machine Learning Methods

SERDAR YANIK

In order to investigate Heart Attack Analysis and Detection Using Machine Learning Methods, models that predict the type of news in a new condition determined by using Machine Learning Models have been studied. In particular, the performance of various classifiers, including logistic regression, Knearest neighbour (KNN), support vector machine (SVM), Naive Bayes and decision tree, is compared. In the experiments using a real-life dataset, logistic regression and SVM gave the best results with a test accuracy of 90%. Naive Bayes achieved an accuracy of 86.67%, KNN 83.33% and decision tree 63.33 ...Daha fazlası

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Ischemic Stroke Lesion Segmentationin MRI Images Using U-ShapedConvolutional Neural Network

Ilayda Alpay

İnme, günümüzde dünyada önde gelen ölüm nedenlerinden biridir. İnme geçiren hastaların tedavisi ve hayatta kalması için acil ve kesin tanı çok önemlidir. İskemik inmenin tanı ve tedavisi çoğunlukla manyetik rezonans görüntülemeye (MR) dayanmaktadır. Bu çalışmanın amacı, 2 boyutlu MR görüntüleri kullanarak U şeklinde bir evrişimsel sinir ağı mimarisi (CNN) oluşturarak iskemik inme lezyonunu bölütlemek ve çeşitli kayıp fonksiyonları kullanarak çalışmanın kayıp sonuçlarını, zar benzerlik katsayısını (DSC), hassasiyetini ve özgünlüğünü değerlendirmektir. Oluşturulan modeli eğitmek, doğrulamak ve t ...Daha fazlası

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Electrochemical Detection of Dopamine Using a Simple Redox Cycling-Based Device

İpek AVCI

In order to understand brain function, diagnose disorders and develop precise treatments, the detection of dopamine using electrochemical devices is important. The detection of dopamine using electrochemical devices continues to be investigated, as evidenced by studies in the literature in recent years. This is because it helps to unravel the complexity of brain function, facilitate the diagnosis of neurological disorders and enable the development of precise treatments. These devices are important in neuroscience and medicine.

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Investigation of the Effects of Statistically Significant Features on the Classification of EEG-Based Motor Imagery Tasks

Murside Degirmenci

Motor imagery (MI) task classification is highly prevalent in Electroencephalography (EEG)-based Brain-Computer Interface (BCI) research area. Extremity movement task classification and finger movement classification studies are presented in this thesis. In extremity movement classification, binary-class (right hand and left hand) and multi-class (right hand, left hand, right hand, and left hand) classifications are performed using 4 different feature extraction approaches and statistically significance-based feature selection (the independent t-test, one-way ANOVA test). Firstly, time- ...Daha fazlası

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Performance Study of Darrieus Turbine Using Numerical Simulation

Abdelrahman ABUALEENEIN

In this study, CFD abilities to handle Darrieus turbine simulation were assessed and validated in light of related experimental and numerical studies. Simulation methodology is based on two-dimensional modeling of a double NACA 0018 bladed, straight blade Darrieus turbine. Modeling approach, meshing procedure, and solution parameters are mentioned and discussed in details. ANSYS fluent 18.2 is used to carry out all simulations. Experimental test’s data from literature [11] are implemented in context of results verification, also, Courant number and y plus analyses were provided. Due to the sim ...Daha fazlası

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Manufacturing Duplex Steel by Using Induction Furnaces and Characterization

Gülşah Uslu

Duplex steels are materials that contain ferrite and austenite phases in their structure, have high resistance to corrosion, and also show improved mechanical values. While the austenite in its structure provides general corrosion resistance and ductility, ferrite provides resistance to stress corrosion cracking and mechanical strength. Duplex steels have widespread use, especially in shipping and petrochemistry. The current production method of duplex steels, which are in demand with a wide usage area, is generally argon oxygen decarburization furnaces (AOD). In addition to the production met ...Daha fazlası

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Examining the Accuracy of DEM of Difference and 3D Point Cloud Comparison Methods: Open Pit Mine Case Study

Nilüfer ÖZDAŞ

With the widespread use of unmanned aerial vehicles (UAV), it has become possible to rapidly implement high-accuracy photogrammetric mapping studies over small areas using low-cost and basic systems. Through the comparison of images captured at various epochs of a specific area, 3D change detection between epochs can be easily carried out. The process involves extracting point clouds from images obtained via photogrammetric methods, followed by utilizing processing software to derive digital surface models from these point clouds. By taking the differences of these DSMs, 3D change detection ca ...Daha fazlası

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Production and Characterization of Self-Cleaning Clay-Based Roofing Tiles as a Building Material for Environmental Remediation

AHMET YAVAŞ

Within the scope of this thesis, two different semiconductor metal oxide coated visible light-driven self-cleaning clay-roofing tiles have been developed for environmental remediation. A ready-made commercial clay mixture was used for the production of photoactive roofing tiles with iron oxide (α-Fe2O3 phase) and zinc oxide (ZnO) applied as coatings. The main objectives are both to ensure that the applied coatings provide self-cleaning properties by maintaining or even improving the desired physical properties of the tiles and to optimize the firing temperature and coating concentration parame ...Daha fazlası

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Applicability of Predictive Analysis in Software Product Management

Mert Bayça

This thesis explores the integration of predictive analysis within software product management to enhance decision-making and strategic planning. Through empirical investigation using a simulated dataset mimicking real-world scenarios, the study examines the impact of various factors on software product revenue and success. It emphasizes the gap between theoretical knowledge and practical application in predictive analysis, offering a detailed examination of predictive modeling techniques, data collection methodologies, and their practical implications. The research demonstrates how predictive ...Daha fazlası

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Effect of pH Fluctuations in Saliva on Low-Temperature Degradation of Dental Monolithic Zirconia Restorations

Ender AKAN

Monolitik zirkonyum restorasyonlar, mükemmel mekanik özellikleri, biyouyumluluk ve estetiği ile bilinir. Ancak, düşük sıcaklık bozulmasına (LTD) eğilimlidirler. LTD, su veya su buharı varlığında 100 santigrat derecenin altındaki sıcaklıklarda zirkonyumun bozulmasına karşılık gelir. Metastabil tetragonal fazdan daha kararlı monoklinik faza bir faz dönüşümünü içerir. Bu faz dönüşümü, zirkonyumda mikro çatlaklara ve boyutsal değişikliklere neden olabilir, bu da mekanik mukavemetini ve uzun vadeli stabilitesini tehlikeye atabilir. Tükürük, elektrolitler, enzimler, proteinler ve bakteriler içeren k ...Daha fazlası

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