Turkish Character Usage in Text Classification

Ali Aycan KOLUKISA

Abstract This study is prepared to examine the effects of Turkish character usage on text data by using multiple classifiers. Regression Classifiers, SVM, NB-Classifiers, and ANN are frequently used in supervised learning methods, especially in classification problems. Regression classifiers generally come in two types: as Linear and Logistic. There are also more than one type of Naive Bayes classifier. In our study, after mentioning the properties of Linear Regression and Logistic Regression classifiers in general terms, why Logistic Regression is much more suitable for this study is explaine ...Daha fazlası

Estimation of Scattering Parameters of U-Slotted Rectangular RFID Patch Antenna with Machine Learning Models

İsmail AKDAĞ

Abstract In this study, machine learning-based models have been used to estimate the return loss parameters of the operational resonant frequency of the U-slotted UHF RFID antenna. The data set utilized, consisting of 544 instances, has been collected from the simulation software as a consequence of the parametric evaluation of the antenna design parameters. Distinct machine learning methods have been used on two different types of output data, complex and linear scattering parameters, and the models' prediction performance has been evaluated. In the single-output regression models, a mean-squ ...Daha fazlası

Modeling and optimum design for wire electrical discharge machining of γ titanium aluminide alloy

ÖMER FARUK BÜYÜKYAVUZ

Wire electrical discharge machining (WEDM) of γ titanium aluminide is the subject of the current research. Due to the large number of process variables and sophisticated stochastic process mechanisms, selecting the best machining parameter combinations for increased cutting efficiency and accuracy is a difficult task in WEDM. In general, there is no perfect combination that can produce the fastest cutting speed and the finest surface finish quality at the same time. For this purpose, the data were selected from a literature study. This study describes an attempt to devise a suitable machining ...Daha fazlası

A Novel, Nelder-Mead Optimization Approach, based on Neuro-regression modeling for the Energy Efficiency Parameters of End Milling Process

ŞEYDA İŞBİLİR

Global crises are increasing day by day due to the rapid depletion of energy supplies around the planet. One of the goals of engineering is to prevent this situation by developing innovative solutions to this rapid energy consumption that has disappeared in the world. A solution could be to reduce the energy consumption of the machines that are used during production. In this study, a new design technique based on the neuro-regression approach and non-linear regression modeling was offered as an alternative to Taguchi design to reduce energy consumption. Thus, a cutting parameter optimization ...Daha fazlası

Moğolistan Kültürel Mirası İçinde Türk Yazıtlarının Bugünü ve Geleceği Çalıştayları Bildiriler Kitabı/

Moğolistan Hükümetinin 2019 tarih ve 69 sayılı kararı ile “Taştan Yapılmış Kültürel Miras Ulusal Programı” onaylanmış; Eğitim, Kültür, Bilim ve Spor Bakanının 2019 tarih ve A/368 Sayılı Kararı ile programın uygulanmasına yönelik eylem planı yürürlüğe girmiştir. Bahse konu eylem planının 2. maddesinin 4. fıkrasında risk altında olduğu değerlendirilen eserlerin güvenli alanlara taşınacağı hükmü yer almaktadır. Bahse konu mevzuata dayanılarak hazırlanan proje çerçevesinde 17 Ekim 2020’de Moğolistan’daki Türk yazıtları içerisinde oldukça önemli bir yere sahip olan Şine Us yazıtı bulunduğu yerden a ...Daha fazlası