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The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

This article discusses an algorithm for fuzzy control of the technological mode of a reactor unit using fuzzy production models of logical inference and fuzzified measurement information from the control object, discusses the methodology of a computational exp…

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

This research formulates guidelines for documenting stone building element production in contemporary crafting technologies, focusing on semi-automatic processes. Conducting a comprehensive examination of prevalent architecture process models, such as Business…

Elektrikli araçlarda elektrik, mekanik ve kimyasal bileşenler kullanılmaktadır. Bu bileşenler çevre koşullarından ve aracın kullanıldığı yol durumundan dolayı farklı dinamiklere sahip olabilir. Bu nedenle aracın ortam durumuna göre dinamiklerinin ayarlanması b…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

We have designed a portable low-cost stethoscope with software tools. It is aimed to pre-diagnose heart diseases in a short time without exposing the patient to detailed examinations and additional procedures such as electro-cardiography (ECG) or angiography. …

Günümüzde derin öğrenme alanı için veri, çalışma sonuçlarının başarı oranı için büyük önem taşımaktadır. Bu ihtiyaca yönelik olarak görüntü işleme konusunda yapabileceğimiz iyileştirmeler ile daha kaliteli ve eksiksiz görüntüler elde etmek ve eski verilerde ka…

Cyber security is an important concept, and its importance is increasing daily in every aspect of our daily lives. The increase in technology usage areas and rate in online platforms is one of the most important reasons for the security requirement. Today, the…

TRIZ, geçmiş problemlerin çözümlerini özetleyen ve gelecekteki problemlerin sistematik bir yöntem ile çözülmesine yardımcı olan, inovatif problem çözme tekniğidir. Günümüzde şirketlerin rekabet ortamında daha verimli, üretken olabilmeleri ve piyasada varlıklar…

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

In this paper, driving point impedance functions, Z(s)=A+c_1*(s-b)+c_2*(s-b)^2+..., which are frequently used in electrical engineering, have been considered for boundary analysis of the Schwarz lemma. Accordingly, considering the  s_1, s_2, s_3…, s_n points i…

In the phases of hydrological model calibration, the impact of control parameters of optimization algorithms on the related fitness (cost) function (reaching the global solution correctly and expeditiously) is rather essential. These control parameters’ dynami…

The devices developed in the field of organic electronics in recent years are on the technological applications and development of organic electronic devices using organic semiconductor films. The main applications of the organic electronic revolution are; Ele…

Bu çalışmada, 596 kayıt ve 31 sütundan oluşan veri setiyle R programlama dili üzerinde akciğer kanserinin ikili sınıflama başarısı test edilmiştir. İlk aşama veri setinin temizlemesi, boş değerlerin kaldırılması ve verilerin denetlenmesinden oluşmaktadır. Daha…

There is a global high demand for creating smart cities due to the increasing population of the world and lack of natural resources. There are six stated criteria in order to be eligible to become a smart city, which are directly related to governance, economy…

2020 yılına kadar büyük veri gereksinimi ile birlikte kullanıcı sayısının hızlı bir şekilde artmaktadır. Yeni nesil hücresel iletişim teknolojilerinin bu veri trafiği ile beraber daha yüksek veri hızlarını desteklemesi beklenmektedir. Yaklaşan 5.nesil (5th Gen…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …