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Fakültelerİstanbul Topkapı Üniversitesi Kurum Koleksiyonu
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Elliptic Quaternion and Elliptic linear Interpolation

Melisa Rahebi

Spherical spline quaternion interpolation has been done on sphere in Euclidean space using quaternions. In this paper, we have been done elliptic quaternion linear interpolation on ellipsoid using elliptic quaternions. This interpolation curve is called Elerp elliptic linear interpolation. In addition, ESquad (spline elliptic quaternion interpolation) is defined by using the group structure feature of elliptic quaternion on ellipsoid.

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Classification of Zinc-Coated Parts in Accordance with their Brightness Degree using Deep Learning Techniques

Metin Zontul

A novel technique was suggested to measure the brightness of the coated parts. The algorithm of Mask RCNN was used to detect the relevant region on the whole image. The pixels of black lines, which are associated with the brightness of the coating and reflected from the foreground, were counted using image processing technique. These pixels were used as the output in the machine learning training to classify the coated parts. The output was binarized to classify the coated plates as “Pass” and “Fail”. It was found that the RF model was the best model. The scores of its accuracy, F1, precision, ...Daha fazlası

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Differential Diagnosis of Diabetic Foot Osteomyelitis and Charcot Neuropathic Osteoarthropathy with Deep Learning Methods

Gökalp Tulum

Our study aims to evaluate the potential of a deep learning (DL) algorithm for differentiating the signal intensity of bone marrow between osteomyelitis (OM), Charcot neuropathic osteoarthropathy (CNO), and trauma (TR). The local ethics committee approved this retrospective study. From 148 patients, segmentation resulted in 679 labeled regions for T1-weighted images (comprising 151 CNO, 257 OM, and 271 TR) and 714 labeled regions for T2-weighted images (consisting of 160 CNO, 272 OM, and 282 TR). We employed both multi-class classification (MCC) and binary-class classification (BCC) approaches ...Daha fazlası

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Hybrid model-based prediction of biomass density in case studies in Turkiye

Buket İşler

Growing global concern over natural resource degradation due to urbanisation and population growth emphasizes the critical need for innovative solutions. Addressing this imperative, our study pioneers the integration of cutting-edge artificial intelligence (AI) methods to investigate crucial changes in vegetation density. In this context, a hybrid model, which harmoniously integrates conventional artificial neural network (ANN) models with the innovative Wavelet-ANN (W-ANN) approach, was employed in two case pilot areas, namely on Alanya in Antalya and Iznik in Bursa, Turkiye, renowned for the ...Daha fazlası

Detection of Printing Errors in 3D Printers Using Artificial Intelligence and Image Processing Methods

Harun Baydoğan

This article aims to employ artificial intelligence and image processing methods for the detection of print errors in three-dimensional (3D) printers. 3D printers represent a technology that offers various advantages; however, errors may occur during or after the printing process. These errors can impact the print quality, reliability, and functionality. Therefore, it is crucial to detect and prevent printing errors. In this research, image processing and artificial intelligence methods will be utilized to automatically identify, classify, and measure printing errors. These methods will take i ...Daha fazlası

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Examination on the current conduction mechanisms of Au/n-Si diodes with ZnO-PVP and ZnO/Ag2WO4 -PVP interfacial layers

İlke Taşçıoğlu

This study reports a comparative characterization of Au/n-Si Schottky diodes/contacts (SDs) with hydrothermally synthesized ZnO-PVP and ZnO/Ag2WO4-PVP interfacial layers, which outperforms conventional metal-semiconductor Schottky diode structures. This characterization is important because these structures outperform traditional metal-semiconductor Schottky diodes due to the presence of an interfacial layer, allowing barrier height control, surface passivation, and leakage current reduction. Based on the thermionic emission (TE) theory assumed to be the dominant current mechanism across, SDs ...Daha fazlası

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Image retrieval with SNN-based multi-level thresholding

Taymaz Akan

Image retrieval is defined as indexing similar or identical images in a digital image database. Various feature vectors obtained from the images are used while searching for a similar digital image. However, processing all pixels of the images requires costly algorithms. In addition, it is a possible issue that the images used in retrieval approaches are of different sizes. For this reason, pixel-level operations are insufficient when comparing images. Therefore, it requires vectorial structures that represent images. The process of obtaining these vectorial structures is called feature extrac ...Daha fazlası

Wireless Power Transfer

Güngör Bal

Wireless power transfer (WPT) is the process of transferring electrical energy from a power source to a load without an electrical connection. The reason why WPT has become popular today can be listed as the effects that make human life easier, the absence of cable complexity, etc. In the first section basic information are given about WPT, which many researchers are working on today, then a brief history of WPT is provided from past to present. The various types of WPT are briefly described and detailed information about WPT systems with magnetic resonant coupling is presented. Later, basic i ...Daha fazlası

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Existence of Solutions: Investigating Fredholm Integral Equations via a Fixed-Point Theorem

Merve Temizer Ersoy

Integral equations, which are defined as "the equation containing an unknown function under the integral sign", have many applications of real-world problems. The second type of Fredholm integral equations is generally used in radiation transfer theory, kinetic theory of gases, and neutron transfer theory. A special case of these equations, known as the quadratic Chandrasekhar integral equation, given by x(s)=1+lambda x(s)integral(1)(0)s/t+s x(t)dt, can be very often encountered in many applications, where x is the function to be determined, lambda is a parameter, and t,s is an element of[0,1] ...Daha fazlası

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Detecting SQL injection attacks by binary gray wolf optimizer and machine learning algorithms

Mahsa Torkamanıan Afshar

SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the application's database. SQL injection attacks can be detected using machine learning algorithms. The effective features should be employed in the training stage to develop an optimal classifier with optimal accuracy. Identifying the most effective features is an NP-complete combinatorial optimization problem. Feature selection is the process of selecting the training dataset's smallest and most effective features. The main objective of this study is to enhance the accura ...Daha fazlası

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Software Quality Measurement Modelling Using AHP and Promethee Methods

Metin Zontul

As competition in tlie industries relying on software increases, software product quality has become a prominent factor in the competition since quality issues within software-applications have a drastic effect on the organizations' reputation, and their customers experience. It has become more important to define and follow software quality metrics in order to determine the current situation in terms of quality of the developed software applications and to ensure continuous improvement. Within the scope of this paper, software products belonging to a technology company were ranked in terms of ...Daha fazlası

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An Intelligent Anomaly Detection Approach for Accurate and Reliable Weather Forecasting at IoT Edges: A Case Study

Buket İşler

Industrialization and rapid urbanization in almost every country adversely affect many of our environmental values, such as our core ecosystem, regional climate differences and global diversity. The difficulties we encounter as a result of the rapid change we experience cause us to encounter many problems in our daily lives. The background of these problems is rapid digitalization and the lack of sufficient infrastructure to process and analyze very large volumes of data. Inaccurate, incomplete or irrelevant data produced in the IoT detection layer causes weather forecast reports to drift away ...Daha fazlası

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