Başlık için Bilgisayar Mühendisliği listeleme
Toplam kayıt 90, listelenen: 57-76
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A new approach to early diagnosis of congestive heart failure disease by using Hilbert-Huang transform
(Elsevier Ireland Ltd., 2016)Congestive heart failure (CHF) is a degree of cardiac disease occurring as a result of the heart's inability to pump enough blood for the human body. In recent studies, coronary artery disease (CAD) is accepted as the most ... -
A new MOS-C multifunction filter and its third order oscillator application
(Elsevier, 2020)This paper introduces a novel multifunction filter employing single current operational amplifier (COA) with MOS-C implementation and a third order sinusoidal oscillator as its application. The proposed topology provides ... -
NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election
(Springer, 2016)Due to the battery limitations, energy-efficient routing is one of the most important issues in WSNs. In this paper, a novel distributed clustering routing protocol (NODIC) is proposed. The algorithm makes three main ... -
A nonlinear disturbance observer-based adaptive integral sliding mode control for missile guidance system
(Taylor and Francis Ltd., 2022)A novel composite three-dimensional (3D) guidance law based on an adaptive integral sliding mode (AISM) control utilizing a nonlinear disturbance observer (NDOB) technique is proposed for missiles. First, an integral sliding ... -
A novel fractional operator application for neural networks using proportional Caputo derivative
(Springer, 2022)In machine learning models, one of the most popular models is artificial neural networks. The activation function is one of the important parameters of neural networks. In this paper, the sigmoid function is used as an ... -
A Novel Software for Automatic Calibration Factor Measurement of RF Power Sensors
(IInstitute of Electrical and Electronics Engineers Inc., 2022)In this letter, a software for calibration factor (CF) measurement of radio frequency (RF) power sensors (PS) by using VNA-based direct comparison transfer method (VBDCTM) was developed on C# platform. Measurements were ... -
A numerical approach to solve the model of an electromechanical system
(Wiley, 2018)In this paper, the model of an electromechanical system, which is a system of linear differential equations, is studied. Haar wavelet collocation method (HWCM) is applied for finding the approximate solution of the model. ... -
A numerical method for solution of integro-differential equations of fractional order
(Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2017)In this study, sinc-collocation method is introduced for solving Volterra integro-differential equations of fractional order. Fractional derivative is described in the Caputo sense often used in fractional calculus. Obtained ... -
A numerical method for solving a class of systems of nonlinear Pantograph differential equations
(Elsevier, 2022)In this paper, Fibonacci collocation method is firstly used for approximately solving a class of systems of nonlinear Pantograph differential equations with initial conditions. The problem is firstly reduced into a nonlinear ... -
Off-the-Shelf Connectors for Interdisciplinary Components
(IOS Press, 2019)Introduction: Solutions based on software components, especially for heterogeneous constituents such as those pertaining to different disciplines suffer the interoperability burden. Adaptor technologies have been introduced ... -
Orthogonal Extreme Learning Machine Based P300 Visual Event-Related BCI
(Springer, 2015)Brain Computer Interface (BCI) is a type of human-computer relationship research that directly translates electrical activity of brain into commands that can rule equipment and create novel communication channel for muscular ... -
Palladium nanoparticles functionalized graphene quantum dots with molecularly imprinted polymer for electrochemical analysis of citrinin
(Elsevier, 2017)Citrinin (CIT) is mutagenic and resistant to decomposition. In addition, it is founded in many foods and causes the significant diseases in human body. In this report, an imprinted electrochemical surface based on glassy ... -
Parameter Selection in Elliptical Fourier Series for Leaf Classification
(Dokuz Eylül Üniversitesi, 2022)Elliptical Fourier series method is a relatively old but powerful method in contour analysis. We have previously implemented this method as a module for a computer program called “BioMorph”. There are two significant ... -
Performance Analysis of CNN Channel Attention Modules for Image Classification Task
(Çukurova Üniversitesi, 2023)ncreasing the representation power of convolutional neural networks, a popular deep learning model, is one of the hot study topics recently. Channel attention is a common strategy followed in this regard. In this strategy, ... -
Performance Comparision of Different Momentum Techniques on Deep Reinforcement Learning
(Institute of Electrical and Electronics Engineers Inc., 2017)Increase in popularity of deep convolutional neural networks in many different areas leads to increase in the use of these networks in reinforcement learning. Training a huge deep neural network structure by using simple ... -
PID sliding surface-based adaptive dynamic second-order fault-tolerant sliding mode control design and experimental application to an electromechanical system
(Taylor and Francis, 2021)In this paper, an adaptive dynamic PID sliding surface-based second-order fault-tolerant sliding mode controller for speed control of an electromechanical system is proposed. The paper aims to show how to utilise the robust ... -
Position resolution study at high energies of a sampling electromagnetic calorimeter whose active material is a scintillator with Peroxide-cured polysiloxane base
(Elsevier, 2020)This study is based on the simulation for the position resolution performances of a sampling electromagnetic calorimeter with a Peroxide-cured polysiloxane based scintillator as an active material. Various algorithms and ... -
Prediction of Li-Ion Battery Discharge Patterns in IoT Devices Under Random Use Via Machine Learning Algorithms
(Oxford University Press, 2022)This study presents foreseeing of the Lithium-ion battery discharge models for the Internet of Things (IoT) devices under randomized use patterns. IoT systems run in harmony with the human-machine interface, communication ... -
Q Learning Regression Neural Network
(Neural Network World, 2018)In this work, a Nadaraya-Watson kernel based learning system which owns general regression neural network topology is adapted to Q learning method to evaluate a quick and efficient action selection policy for reinforcement ... -
A Real-Time Parallel Image Processing Approach on Regular PCs with Multi-Core CPUs
(Kauno Technologijos Universitetas, 2017)In this paper a parallel image processing and frame rate stabilization approach is proposed. This approach works on a regular PC with a multi-core CPU. It is implemented under. NET Framework and tested on Microsoft Windows ...