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Toplam kayıt 54, listelenen: 21-30
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. ...
Deep Convolutional Generalized Classifier Neural Network
(Springer, 2020)
Up to date technological implementations of deep convolutional neural networks are at the forefront of many issues, such as autonomous device control, effective image and pattern recognition solutions. Deep neural networks ...
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 ...
SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
(Wiley, 2021)
Deep learning (DL) is a special field of artificial intelligence that has increased its use in various fields and has proved its effectiveness in classification. The feasibility of using many hidden layers and many neurons ...
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 ...
Approximate analytical solutions of a class of non-linear fractional boundary value problems with conformable derivative
(Serbian Society of Heat Transfer Engineers, 2021)
In this paper, it is presented that an approximate solution of a class of non-linear differential equations with conformable derivative under boundary conditions by using sinc-Galerkin method that is not used to approximately ...
A deep learning architecture for identification of breast cancer on mammography by learning various representations of cancerous mass
(Springer, 2021)
Deep Learning (DL) is a high capable machine learning algorithm with the detailed analysis abilities on images. Although DL models achieve very high classification performances, the applications are trending on using and ...
Dynamic coefficient-based cluster head election in wireless sensor networks
(Pamukkale Üniversitesi, 2020)
Owing to the fact that the selection of cluster heads has a significant effect on the lifetime of the network, many researches have proposed various cluster head election methodologies for cluster-based WSNs. Although ...
Current Operational Amplifier Based Voltage-Mode MOS-C All-Pass Filter and Its Application
(Gazi Üniversitesi, 2020)
In this work, a novel first order voltage-mode all-pass filter employing single active element named current operational amplifier (COA), two resistors, one capacitor and it's application as sinusoidal oscillator is ...
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)
The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ...