Browsing Elektrik Elektronik Mühendisliği Bölümü Koleksiyonu by WoS Q Value "N/A"
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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 ... -
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 ... -
An atom search optimization approach for IIR system identification
(Taylor & Francis Inc, 2023)Filtering, or digital signal processing, is a significant and fundamental requirement in fields such as signal systems and computers. The process of designing optimal digital filters is difficult, which has led researchers ... -
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 ... -
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 ... -
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. ... -
An effective torque-based method for automatic turn fault detection and turn fault severity classification in permanent magnet synchronous motor
(Springer, 2023)This article presents a novel approach based on the electromechanical torque signal for the inter-turn short-circuit fault (ISCF) detection and the ISCF severity estimation in permanent magnet synchronous motors (PMSMs). ... -
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 ... -
Fault detection in distribution network with the Cauchy-M estimate—RVFLN method
(MDPI, 2023)Fault detection is an important issue in today’s distribution networks, the structure of which is becoming more complex. In this article, a data-based Cauchy distribution weighting M-estimate RVFLNs method is proposed for ... -
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 ... -
Investigation of Dunaliella salina microalgae as an effective dual-function material for hydrogen production and supercapacitor applications
(Elsevier Ltd., 2023)Today, population growth, industrialization and economic growth increase the consumption of fossil fuels to meet the energy demand. The scarcity of fossil fuels and the harmful gases they generate increase the interest in ... -
LSTM based forecasting of the next day’s values of ionospheric total electron content (TEC) as an earthquake precursor signal
(Springer Science and Business Media Deutschland GmbH, 2023)The sudden vibrations that occur due to the fractures in the Earth’s crust, spreading in waves and shaking the Earth’s surface, are natural disaster that causes significant loss of life and property. To take measures against ... -
Mobile robot application with hierarchical start position DQN
(Hindawi Limited, 2022)Advances in deep learning significantly affect reinforcement learning, which results in the emergence of Deep RL (DRL). DRL does not need a data set and has the potential beyond the performance of human experts, resulting ... -
Multi-task learning for arousal and sleep stage detection using fully convolutional networks
(IOP Publishing, 2023)Objective.Sleep is a critical physiological process that plays a vital role in maintaining physical and mental health. Accurate detection of arousals and sleep stages is essential for the diagnosis of sleep disorders, as ... -
A novel study for supercapacitor applications via corona discharge modified activated carbon derived from Dunaliella salina microalgae
(Elsevier Ltd., 2023)Chemical activation factors including type of chemical agent and amount of agent, as well as carbonization procedures like burning temperature and burning time, have an impact on the surface characteristics of activated ... -
Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithms
(Springer Science and Business Media, 2023)The COVID-19 outbreak, which has a devastating impact on the health and well-being of the global population, is a respiratory disease. It is vital to determine, isolate and treat people with the disease as soon as possible ... -
Optimal PI–PD controller design for pure integrating processes with time delay
(Springer, 2021)Though Proportional-Integral-Derivative (PID) controllers are commonly being used for process control applications, it has been proven that they may give unacceptable closed loop responses for open loop unstable processes ... -
Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) parameters using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC converter for Improving the performance of proton-exchange membrane fuel cells
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)In this article, the control of a DC/DC converter was carried out using the proposed methods of conventional PI, PSO-based PI, PSO-based FOPI, GA-based PI, and GA-based FOPI controllers in order to improve the performance ... -
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 ...
