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Bulunan: 19 Adet 0.002 sn
Ambargo Durumu : Süreli Ambargo ✕Yayın Dili : eng ✕Yayın Dili : eng ✕Koleksiyon : FEN BİLİMLERİ ENSTİT ... ✕Koleksiyon : FEN BİLİMLERİ ENSTİT ... ✕Koleksiyon : FEN BİLİMLERİ ENSTİT ... ✕Koleksiyon : FEN BİLİMLERİ ENSTİT ... ✕
Koleksiyon [2]
Ambargo Durumu [1]
Tam Metin [1]
Eser Sahibi [19]
Tür [3]
Yayın Tarihi [2]
Yayıncı [2]
Kayıt Giriş Tarihi [14]
Tez Danışmanı [17]
Yayın Dili [1]
Konu Başlıkları [20]
Erişime Açık

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

Yüksek Lisans 2024 Didem Şen Karaman İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 1 Görüntülenme
Süreli Ambargo

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

Yüksek Lisans 2024 Onan Guren İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 4 Görüntülenme Ambargo Kalkış : 24.11.2024
Süreli Ambargo

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.

Yüksek Lisans 2024 Mustafa Şen İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 9 Görüntülenme Ambargo Kalkış : 26.09.2024
Erişime Açık

Joining Aluminum 6061 Alloy Thin Sheets by Friction Stir Spot Welding Method

Serkan GÜNDOĞDU

In this study, the Friction Stir Spot Welding (FSSW) method was employed to join thin AA6061-T4 series aluminum sheets. The AA6061-T4 alloy used in the study has various applications, including aerospace and automotive industries. During the joining process using the FSSW method, emphasis was placed on three parameters: tool rotational speed, pin length, and pin width, considering the advantages of the aluminum alloy used. A total of 12 welding operations were performed with different parameter combinations. The obtained specimens were examined for their mechanical properties, temperature meas ...Daha fazlası

Yüksek Lisans 2023 Onur Ertuğrul İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 6 Görüntülenme
Erişime Açık

Hand Gesture Classification Using Features of Multivariate Synchrosqueezing Transform Based Time-Frequency Matrix

Lütfiye Sarıpınar

El hareketi tanıma, insan-bilgisayar etkileşimi için anlamlı el hareketlerinin sınıflandırılmasına yönelik bir prosedürdür. Yüzey elektromiyografisi (sEMG), amaçlanan hareketlerle ilgili içsel bilgileri taşıdığı için el hareketi sınıflandırma çalışmalarında sıklıkla kullanılmaktadır. Bu tez çalışmasında, zaman-frekans (TF) matrislerinden çıkarılan özellikler ile TF matrislerinden Negatif Olmayan Matris Çarpanlarına Ayırma (NMF) yöntemiyle çıkarılan özelliklerin sınıflandırma başarısının karşılaştırılması sunulmaktadır. TF matrislerini elde etmek için 4 kanallı sEMG sinyaline Çok Değişkenli Sen ...Daha fazlası

Yüksek Lisans 2023 Onan Güren İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 2 Görüntülenme
Erişime Açık

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

Doktora Tezi 2024 Yalçın İşler İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 6 Görüntülenme
Erişime Açık

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

Yüksek Lisans 2024 Gül Yılmaz Atay İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 8 Görüntülenme
Süreli Ambargo

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

Yüksek Lisans 2024 Mehmet Güven Koçak İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 14.02.2025
Erişime Açık

Optimization of Drying Process of Plastic Granules Based on Stochastic Method with Neuro Regression Approach

Mustafa DİNÇ

Polymers contain moisture due to their chemical structure. Moisture in polymers is important for the quality of the final product and ease of processing. For this reason, polymers are subjected to drying before processes such as injection and extrusion. Drying is carried out at temperatures and times specified by the polymer suppliers. Over-drying leads to increased viscosity (processing difficulty) while under-drying leads to flow marks, burrs, and reduced tensile strength and impact strength. Over-drying also causes excessive energy consumption. In this study, the drying process optimization ...Daha fazlası

Yüksek Lisans 2023 Levent Aydın İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 3 Görüntülenme
Süreli Ambargo

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

Doktora Tezi 2024 Fethullah GÜNEŞ İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 16.02.2025
Erişime Açık

Estimation of Building Height from ICESat-2/ATLAS and Airborne LiDAR Data Using Machine Learning Algorithms

Aslıhan Yücel

The height of buildings in cities are of critical importance to urban planning and sustainable growth, as these factors are closely linked to environmental, economic, social, and aesthetic elements that shape the structure and character of cities. The main purpose of this study is to calculate building heights using machine learning algorithms based on airborne LiDAR and ICESat-2 data in urban areas. Sub-objectives of the study to achieve the main objective are: (a) investigate the relationships between spaceborne and airborne LiDAR data and integrate the data, (b) investigate the performance ...Daha fazlası

Yüksek Lisans 2023 Müge Ağca İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 3 Görüntülenme
Erişime Açık

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

Diğer 2024 İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 3 Görüntülenme
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