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Automated Captioning of Image and Audio for Visually and Hearing Impaired

Özkan Çaylı

Generating captions and text descriptions of images will enable visually and hearing impaired extended accessibility to the real-world, thus reducing their social isolation, and improving their well-being, employability, and education experience. This thesis presents significant advancements in algorithmic approaches for generating captions and text descriptions. These enhancements are pivotal in processing and interpreting both image and audio data. The focus on algorithmic innovation ensures that the platform is not only efficient but also adaptable to various types of visual and auditory in ...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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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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Natural Language Processing and Machine Learning-Based Medical Decision Support Application Concept Design for Gastroesophageal Reflux Disease

Tevfik Aşgın

This text discusses a project for a concept design that aims to help doctors better diagnose and treat Gastroesophageal Reflux Disease (GERD) using the latest methods in artificial intelligence (AI), specifically LangChain and ChatGPT-4 from OpenAI. The project includes creating a system for GERD, using AI to work with medical data, testing the system with some patient cases, and seeing how well it helps in treating GERD. The project seeks to explore the feasibility of implementing a system that enhances the diagnosis and treatment through the application. 50 cases were generated for evaluatio ...Daha fazlası

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Software Engineering Department Master Thesis

Mamadou Lamarana Diallo

Son zamanlarda yapay zeka (AI), sunduğu çözümler nedeniyle bilimsel araştırmaların tüm alanlarını işgal etti. Sağlık da bir istisna değil. Diyabet dünyadaki en yaygın hastalıklardan biridir. Komplikasyonlarından biri, hastanın görüşünü bulanıklaştırabilen veya bozabilen ve körlüğün ana nedenlerinden biri olan diyabetik retinopatidir. Diyabetik retinopatinin erken teşhisi tedaviye büyük ölçüde yardımcı olabilir. Yapay Zeka ve özellikle derin öğrenme alanındaki son gelişmeler, birçok hastalığı erken evrelerinde tahmin etmek, öngörmek ve teşhis etmek için kullanılabilecek iddialı çözümler sunmakt ...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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Manufacturing and Characterization of Peptide Coated Polylactic Acid Based Composites for Various Medical Applications

Metehan ATAGÜR

Within the scope of this thesis, PLA-based composites have been developed and coated with peptide to increase biocompatibility for temporary implant applications and PLA biocomposite materials have been produced. HA and β-TCP were used as additive materials, and PLLA and PDLA polymers were used as polymer matrix. The main purpose is to obtain the composite with the best mechanical properties and to improve the biocompatibility properties as a result of coating this final material with peptide. In the first stage, 10% HA (PLA-10 HA), 10% β-TCP (PLA-10TCP) and 5% HA + 5% β-TCP (PLA-5TCP-5HA) are ...Daha fazlası

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Development of Electromagnetic Wave Absorption Properties of Graphene-Based Nanocomposites by Using Stochastic Optimization Methods

Kemal Bartu Aydın

Today, with the developing telecommunications and electronic technologies for civilian and military purposes, electromagnetic (EM) applications have a wide usage area, including different frequency ranges, such as radar, wireless information transfer, and medical technologies, as well as radio frequencies. However, the broad use of these technologies causes EM wave pollution, so they have a devastating effect not only on the working functionalities of electronic devices but also on human health. Therefore, the need to develop these technologies to prevent EM wave pollution is increasing daily. ...Daha fazlası

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Aging Heat Treatment of Additive Manufacturing Maraging Steels in Nitrogen Containing Atmospheres

Derya Çakan

Additive Manufacturing (AM) is a manufacturing method that pushes the limits of imagination and eliminates the question of whether complex industrial products can be produced that cannot be obtained with traditional manufacturing methods. In this study, microstructure and mechanical properties of maraging steels produced by DMLS method and aged in different durations (6 and 9 hours) and atmospheres (Air, N2 and N2/H2) were investigated. When the SEM images were examined, it was ob-served that the molten pool boundaries did not disappear completely but became blur-red with increasing temperatur ...Daha fazlası

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Assessment of Fouling in Plate Heat Exchangers with Machine Learning Algorithms

Ceren VATANSEVER

Fouling is the accumulation of undesired particles on heat transfer surfaces which affects the heat transfer performance of a heat exchanger negatively. The accumulation of these particles prevents heat from being transformed through the heat exchangers by generating a fouling layer-like insulation. The main aim of the thesis is to investigate the machine learning algorithms to classify and predict the fouling status of PHE used in combi-boilers, to generate the background of the predictive maintenance, besides investigating the fouling effect on PHEs in terms of heat transfer and energy consu ...Daha fazlası

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Automatic Detection of Alzheimer’s Disease with Transfer Learning and Image Processing Techniques

Atılay Yeşilada

Alzheimer's disease continues to be a serious public health issue. Alzheimer's disease affects generally old people, and it is a neurological disorder. The most significant sign of Alzheimer's disease is memory loss, which becomes worse over time. Therefore, early identification of Alzheimer's illness can aid in diseased getting the proper care. One of the aims of this thesis is to automate the early detection of Alzheimer's disease and create a self-improving system by utilising previous experiences each time it is detected automatically. In this way, the bad effects of the disease due to the ...Daha fazlası

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

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