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

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.

Design and Development of a Multi Degree of Freedom Surgical Robot Manipulator that will be Utilized in Single Incision Laparoscopic Surgery

Mustafa Volkan YAZICI

This thesis focuses on design and development of a robot manipulator with dexterous forceps for single-incision laparoscopic surgery. Integrating the robotic capabilities into laparoscopy instruments, the study aims to increase precision and reduce limitations such as mobility constraints. Main objective of the thesis is to develop a robotic articulating laparoscopy instrument. In light of the first trials, it is seen that the dexterity and robotic control advantages are promising while the trocar's mobility constraint limits the workspace of the robotic laparoscopy forceps. An alternative sur ...Daha fazlası

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

Artificial Intelligence Based Resource Allocation in Cell-Free Networks

Mert Demirel

With the rapid development of technology, cellular networks can no longer meet the demands of wireless networks. Communication systems need to be updated to ensure that every user equipment (UE) receives accurate and efficient service. Cell-free (CF) networks offer advantages over cellular networks, such as more flexible resource allocation, higher capacity, better coverage and lower interference. The deployment of multiple access points (APs) and flexible allocation of resources leads to higher network performance and efficiency. In addition, in CF networks, users can communicate with ...Daha fazlası

Improvement of engineering properties and liquefaction reduction of sandy soils using electric arc furnace slag and roof tile powder

Agolli, Drinela

The scarcity of suitable land for construction of engineering facilities and shortage of natural earth aggregates has highlighted the need for finding innovative way of construction. Nowadays problematic soils such as: soft clay, organic soils and liquefiable soils can be improved to the required civil engineering requirements by application of soil stabilization. Soil stabilization is a method intended to increase or preserve the stability of soil mass and chemical alteration of soil to improve engineering properties. Generally, ground treatment techniques used are: densification, reinforcem ...Daha fazlası

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

Nonlinear analysis of steel frames considering lateral Torsional buckling effect

The use of nonlinear analysis methods is widely preferred to determine the realistic behavior of the structures through the computer technologies developed in recent years. However, the stability problems that significantly affect the structure behavior are often neglected in nonlinear analysis and in computer programs that are frequently used to the realization of these analyses. Lateral torsional buckling behavior, which is one of the stability problems, is considered to be neglected in many studies using nonlinear analysis methods in the literature. As a result, the realistic behavior ...Daha fazlası

Application of Artificial Intelligence to Paper Based Colorimetric Sensors

Elif Yüzer

Kolorimetrik analiz, biyomoleküllerin saptanmasında kullanılan ve çıplak gözle gözlemlenen maddenin varlığını ve konsantrasyonunu belirlemek için renk değişimlerini kullanılarak ölçülmesini sağlayan bir tekniktir. Sağlık, gıda, ilaç, kozmetik ve boya endüstrileri gibi birçok farklı alanda biyolojik, tıbbi ve çevresel numunelerin analizinde kolorimetrik analiz kullanılmaktadır. Bakım-noktası (POC) testleri kullanım kolaylığı ve ulaşılabilirliği nedeniyle bir çok alanda kullanılmaktadır. POC testlerinin kolorimetrik analiz ile entegrasyonu kullanım kolaylığını arttırmaktadır. Kolorimetrik ...Daha fazlası

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

Effects of beta -tricalcium phosphate concentration on osteogenic differentiation of human mesenchymal stem cells in chitosan based composite scaffolds

Demirci, Emine Afra

Today, tissue transplant applications are widely used for repair of damaged hard tissue. Despite the gold standard of autografts, interest in synthetic bone grafts produced by tissue engineering techniques is increasing day by day, due to limiting factors such as damage to the tissue site and limited graft availability in allografts, and the risk of developing an immune system response in allografts.Many bioceramic materials, including β-tricalcium phosphate (β-TCP), hydroxyapatite (HA) and calcium sulfate, are widely used in bone tissue engineering. β-TCP has been the most preferred biocerami ...Daha fazlası

Experimental Investigation and Numerical Modeling of Fiber Reinforced Concrete Beams for Different Failure Modes

Marwan AL SAMAN

Bu çalışma temel olarak, Beton Plastikleşme Hasar modelinin (ing. Concrete Damaged Plasticity CDP) ve Değiştirilmiş Basınç Alanları Teorisi (ing. Modified Compression Field Theory, MCFT) formülasyonlarının doğrusal olmayan sonlu elemanlar yöntemine uygulanmasının etkinliğini değerlendirmeyi amaçlamaktadır. Farklı boyutlar, kullanılan çelik lif miktarı, beton dayanımı ve çekme donatısı oranı gibi geniş ölçekli değişkenleri kapsayan iki kiriş grubu üzerinde incelemeler gerçekleştirilmiştir. Birinci grup kirişler literatürden alınmış, ikinci grup kirişler ise İzmir Katip Çelebi Üniversites ...Daha fazlası