Browsing Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu by Title
Now showing items 1-20 of 29
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Analysis of epileptic iEEG data by applying convolutional neural networks to low-frequency scalograms
(IEEE-Institute of Electrical Electronics Engineers INC., 2021)In this paper, Convolutional Neural Networks (CNN) method was applied to low frequency scalograms in order to contribute to the development of diagnostic and early diagnosis systems of epileptic intracranial EEG (iEEG) ... -
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 ... -
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 ... -
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 ... -
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, ... -
Comparative analysis of multi-criteria decision making methods for the assessment of optimal SVC location
(Polska Akad Nauk, 2022)The goal of multi-criteria decision making (MCDM) is to select the most appropriate of the alternatives by evaluating many conflicting criteria together. MCDM methods are widely available in the literature and have been ... -
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 ... -
A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals
(Springer, 2022)This study presents a method with high accuracy performance that aims to automatically detect schizophrenia (SZ) from electroencephalography (EEG) records. Unlike related literature studies using traditional machine learning ... -
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 ... -
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 ... -
Determining optimal SVC location for voltage stability using multi-criteria decision making based solution: Analytic hierarchy process (AHP) approach
(IEEE-Institute of Electrical Electronics Engineers INC., 2021)Due to latest blackouts in the world, voltage instability and voltage collapse have become the main issues studied in electrical power systems. For this purpose, various Flexible AC Transmission Systems (FACTS) devices ... -
Determining similarities of COVID-19-lung cancer drugs and affinity binding mode analysis by graph neural network-based GEFA method
(Taylor & Francis, 2021)COVID-19 is a worldwide health crisis seriously endangering the arsenal of antiviral and antibiotic drugs. It is urgent to find an effective antiviral drug against pandemic caused by the severe acute respiratory syndrome ... -
EEG channel selection using differential evolution algorithm and particle swarm optimization for classification of odorant-stimulated records
(INESEG Yayıncılık, 2021)A significant advancement has been made in the evolutionary computing and swarm intelligence methods in past decades. These methods have been commonly used to calculate well optimized solutions. Methods select the best ... -
Empirical mode decomposition and convolutional neural network-based approach for diagnosing psychotic disorders from eeg signals
(Springer, 2022)Psychotic disorders are mental disorders that negatively affect human life. Diagnosis of psychotic patients is usually done in consultation with the patient, and this is a time-consuming process. In this study, a Computer ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ...
