Browsing Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu by Department "Dicle Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü"
Now showing items 1-20 of 61
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50 Hz şebeke frekansında elektrik ve manyetik alan şiddetlerinin ölçülmesi ve ölçüm sonuçlarının ICNIRP'nin halk maruziyeti limitlerine göre karşılaştırılması
(Pamukkale Üniversitesi, 2014)Türkiye'nin de içinde bulunduğu birçok ülke tarafından kabul gören Uluslararası İyonlaştırmayan Radyasyondan Korunma Komisyonu (ICNIRP), elektromanyetik alanlara halk ve mesleki maruziyet limitlerini belirleyen ve bu ... -
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) ... -
An analytical solution of fractional order PI controller design for stable/unstable/integrating processes with time delay
(Tübitak, 2023)This paper aims to put forward an analytical solution for tuning parameters of a fractional order PI (FOPI) controller for stable, unstable, and integrating processes with time delay. Following this purpose, the analytical ... -
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, ... -
Boosted arithmetic optimization algorithm with elite opposition-based pattern search mechanism and its promise to design microstrip patch antenna for WLAN and WiMAX
(Taylor and Francis Ltd., 2023)This paper investigates the performance of a novel artificial intelligence optimization technique in terms of designing a small size antenna that can be used for WLAN and WiMAX applications. In this regard, a boosted version ... -
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 ... -
Complexity of EEG dynamics for early diagnosis of alzheimer's disease using permutation entropy neuromarker
(Elsevier, 2021)Background and objective Electroencephalogram (EEG) is one of the most demanded screening tools that investigates the effects of Alzheimer's Disease (AD) on human brain. Identification of AD in early stage gives rise to ... -
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 ... -
Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series
(Elsevier, Mart 2024)Background Individuals in the early stages of Alzheimer’s Disease (AD) are typically diagnosed with Mild Cognitive Impairment (MCI). MCI represents a transitional phase between normal cognitive function and AD. ... -
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 ... -
Design and experimental application of an improved cascade controller optimized via genetic algorithm for cascade systems
(TUBITAK, 2023)A single-loop conventional controller will not initiate corrective action for disturbances unless the output variable moves away from the set point. In this case, the cascade control strategy can be benefitted to obtain ... -
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 ... -
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 ... -
Effects of pharmacological treatments in alzheimer’s disease: Permutation entropy-based EEG complexity study
(Springer, 2023)Alzheimer’s disease (AD) is a neurodegenerative brain disease affecting cognitive and physical functioning. The currently available pharmacological treatments for AD mainly contain cholinesterase inhibitors (AChE-I) and ... -
Emotion recognition based on EEG features in movie clips with channel selection
(Springer Berlin Heidelberg, 2017)Emotion plays an important role in human interaction. People can explain their emotions in terms of word, voice intonation, facial expression, and body language. However, brain–computer interface (BCI) systems have not ...
