Browsing Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu by Issue Date
Now showing items 1-20 of 27
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Extreme learning machine (ELM)-based classification of benign and malignant cells in breast cancer
(International Scientific Information, Inc., 2018)Background: Breast cancer is one of the most common cancer types in the world and is a serious threat to health. This type of cancer is complex; it is a hereditary disease and does not result from a single cause. The ... -
Detection of eccentricity fault based on vibration in the PMSM
(Elsevier B.V., 2018)This paper presents how to diagnose faults in static and dynamic eccentricity of a rotor by observing the vibration of permanent magnet synchronous motor. The radial electromagnetic force density of the permanent magnet ... -
Epilepsy detection by using scalogram based convolutional neural network from eeg signals
(MDPI AG, 2019)The studies implemented with Electroencephalogram (EEG) signals are progressing veryrapidly and brain computer interfaces (BCI) and disease determinations are carried out at certainsuccess rates thanks to new methods ... -
Aşırı öğrenme makinası yöntemi ile sürekli mıknatıslı senkron motorun moment verileri kullanılarak sargı izolasyonu arızasının tespiti
(TMMOB Elektrik Mühendisleri Odası, 2019)Elektrik makinalarının arızalarının erken tespitinin yapılmaması, felaketle sonuçlanabilecek arızalara neden olduğu bilinmektedir. Endüstride en çok kullanılan motorların asenkron motorlar olması sebebiyle durum izleme ve ... -
Fault detection in photovoltaic arrays via sparse representation classifier
(IEEE-Institute of Electrical Electronics Engineers INC., 2020)In recent years, there has been an increasing interest in the integration of photovoltaic (PV) systems in the power grids. Although PV systems provide the grid with clean and renewable energy, their unsafe and inefficient ... -
Automatic detection of cursor movements from the EEG signals via deep learning approach
(IEEE-Institute of Electrical Electronics Engineers INC., 2020)The classification of motor imagery (MI) tasks is one of the key objectives of EEC-based brain-computer interface (BC!) systems. To ensure successful classification performance to BCI systems, researchers endeavor to extract ... -
Performance comparison of a dual-ridge horn antenna and a planar monopole antenna in the microwave breast cancer detection
(Advanced Electromagnetics, 2020)Detection of the breast cancer tumors at an early stage is very crucial for a successful treatment. Microwave measurement systems have gained attention for this aim over the past decades. This paper, firstly mentions the ... -
Soil moisture inversion via semiempirical and machine learning methods with full-polarization radarsat-2 and polarimetric target decomposition data: A comparative study
(Institute of Electrical and Electronics Engineers Inc., 2020)In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods. The semiempirical models and machine learning ... -
Optimal I-PD controller design for setpoint tracking of integrating processes with time delay
(The Institution of Engineering and Technology, 2020)Processes including one or more integrators in their transfer functions can frequently be encountered in industry. In this study, integral-proportional-derivative (I-PD) controllers are proposed to control these type of ... -
On a yearly basis prediction of soil water content utilizing sar data: A machine learning and feature selection approach
(Turkiye Klinikleri, 2020)Soil water content (SWC) performs an important role in many areas including agriculture, drought cases, usage of water resources, hydrology, crop diseases and aerology. However, the measurement of the SWC over large terrains ... -
Automatic detection of schizophrenia by applying deep learning over spectrogram images of EEG signals
(International Information and Engineering Technology Association, 2020)This study presents a method that aims to automatically diagnose Schizophrenia (SZ) patients by using EEG recordings. Unlike many literature studies, the proposed method does not manually extract features from EEG recordings, ... -
Neutron yield and ion production with respect to cathode radius in spherical plasma focus
(Erol Kurt, 2020)The effect of the cathode radius variation (from 11.5 cm to 17 cm) on neutron yield, discharge current, plasma temperature, and ion properties (velocity, energy, and density) are investigated in this study using the developed ... -
Hilbert dönüşümü kullanılarak EEG işaretlerinden kanal bazlı şizofren hastalığının tespiti
(Türkiye Bilişim Vakfı, 2020)Elektroensefalografi (EEG) nörolojik hastalıkların tespitinde sahip olduğu çok kanallı ve yüksek zaman çözünürlüklü yapısı ile çalışmalarda etkili bir görüntüleme aracı olarak popülerliğini korumaktadır. Bu çalışmada, ... -
Şizofreni teşhisinde bir nöro-isaretçi olarak EEG uyumluluğu
(IEEE-Institute of Electrical Electronics Engineers INC., 2020)Bu deneysel çalışmada, şizofreni (sch) hastalığı tespitinde EEG uyumluluk tabanlı bir yaklaşım önerilmiştir. Bu bağlamda 16 kanallı EEG sisteminde 6 inter-hemisferik, 3 sol ve 3 sağ intra-hemisferik elektrot çiftleri ... -
Şizofrenik ve sağlıklı EEG zaman serilerinin sınıflandırılması ve istatistiksel analizi
(IEEE-Institute of Electrical Electronics Engineers INC., 2020)Bu çalışmada sağlıklı ve şizofrenik EEG zaman serilerinin lineer öznitelikler kullanılarak farklı sınıflandırma yöntemleri ile ayırt edilmesi amaçlanmıştır. Bu amaçla 39 şizofreni hastası ve 39 sağlıklı kişiden 16 kanallı ... -
I-PD controller design based on analytical rules for stable processes with inverse response
(Balkan Yayın, 2020)Inverse response characteristic makes the control of a process more challenging. In this study, simple and analytical expressions have been obtained to evaluate optimum settings of I-PD controllers for controlling open ... -
The convolutional neural network approach from electroencephalogram signals in emotional detection
(Wiley, 2021)Although brain-computer interfaces (BCI) progress rapidly, the desired success has not been achieved yet. One of these BCI is to detect emotional states in humans. An emotional state is a brain activity consisting of ... -
Spherical plasma focus operated with nitrogen and neon gases for soft x-rays (bremsstrahlung radiation, line radiation, and radiative recombination)
(IOP Publishing Ltd., 2021)X-ray emissions (bremsstrahlung radiation, line radiation, and radiative recombination) from spherical plasma focus (SPF) device are investigated with the developed spherical MHD model for nitrogen (N) and neon (Ne) gases ... -
Automatic detection and localization of COVID-19 pneumonia using axial computed tomography images and deep convolutional neural networks
(Wiley, 2021)COVID-19 was first reported as an unknown group of pneumonia in Wuhan City, Hubei province of China in late December of 2019. The rapid increase in the number of cases diagnosed with COVID-19 and the lack of experienced ... -
Derin transfer öğrenimi yaklaşımı ile kamusal alanda medikal maske kullanımının otomatik kontrolü
(Bingöl Üniversitesi Fen Bilimleri Enstitüsü, 2021)Uluslararası kamu sağlığı acil durumu olan COVID-19 hastalığının başlıca bulaşma yolları, solunum damlacıkları ve fiziksel temastır. Hastalığın yayılımını önlemek ve salgınla mücadele etmenin kapsamlı stratejilerinden biri ...
