Energy has been the most contested meta since the mid-19th century. Since energy
was utilized for light and heating at first and later for industrial production it has become
one of the indispensable element of social and economic life. In line with the industrial and
technological development, increasing energy need and consumption have become one of
the indicators of power in economic, political and social areas since having political power
depends on a strong economy. Also, energy is a fundamental factor in contemporary
economy. Therefore, states struggle to have necessary energy reso ...Daha fazlası
Günümüzde temel insan hakları, ülkelerin kendi iç hukukunda olduğu kadar uluslararası çerçevede de önem kazanmıştır. Devletlerin insan haklarına saygı gösterip göstermemesi, demokrasinin ve gelişmişliğin göstergesi olarak da algılanmaktadır. Bu yönüyle insan hakları ulusal boyutlarının çok ötesine geçerek uluslararası bir boyut kazanmıştır. Bu durum, herhangi bir bireyin kendi ülkesindeki insan hakları sorunlarıyla ilgilendiği kadar dünyanın herhangi bir yerindeki insan hakları ile de ilgilenmesini meşru kılmaktadır. Bunun yanı sıra ülkeler içerisindeki azınlıkların çoğunluk statüsündeki kimse ...Daha fazlası
Akıllı Sistemlerde Yenilikler ve Uygulamaları (ASYU) Sempozyumu, 9-10 Ekim 2014 tarihleri
arasında İzmir'in yeni kurulan devlet üniversitesi olan İzmir Kâtip Çelebi Üniversitesi (İKÇÜ)
tarafından Yıldız Teknik Üniversitesi (YTÜ) desteğiyle İzmir'de düzenlenmiştir.
Sempozyum, disiplinler arası bir konu olan akıllı sistemler alanında çalışan araştırmacıları bir araya getirmeyi ve aralarında etkin bir iletişim platformu oluşturmayı hedeflemektedir.
Sempozyumda Yapay Sinir Ağları, Bulanık Mantık, Karma Akıllı Sistemler, Bilgi Tabanlı
Sistemler, Evrimsel Hesaplama, Uzman Sistemler, Evrimsel Al ...Daha fazlası
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
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
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
This study proposes an appropriate optimization model for determining a new composite material's mechanical properties by neuro-regression analysis. This new composite material is obtained by combining hemp and polypropylene fibers. It was developed for the sector of upholstered furniture. First, different multiple regression models have been tried for input and output values. The R2 training, R2 testing, R2 validation, and minimum, maximum values were determined for each model. Then, the stochastic optimization approach is used to predict and optimize the mechanical properties of the new bioc ...Daha fazlası
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
Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface i ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.