Güncel Gönderiler: Makale Koleksiyonu
Toplam kayıt 81, listelenen: 61-80
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Manipulating attributes of natural scenes via hallucination
(Association for Computing Machinery, 2019)In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network that can hallucinate images ... -
DEEPred: Automated Protein Function Prediction with Multi-task Feed-forward Deep Neural Networks
(Nature Publishing Group, 2019)Automated protein function prediction is critical for the annotation of uncharacterized protein sequences, where accurate prediction methods are still required. Recently, deep learning based methods have outperformed ... -
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 ... -
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 ... -
Estimation of daily global solar radiation using deep learning model
(Elsevier, 2018)Solar radiation (SR) is an important data for various applications such as climate, energy and engineering. Because of this, determination and estimation of temporal and spatial variability of SR has critical importance ... -
Multi-Stage Fish Classification System Using Morphometry
(Parlar Scientific Publications (PSP), 2017)The aim of this study is to create a multi-stage fish classification system with high accuracy rate. Classifications are based on biometric points of the fishes that consists of three main phases, data acquisition, feature ... -
An efficient scheme for solving a system of fractional differential equations with boundary conditions
(Springer International Publishing, 2017)In this study, the sinc collocation method is used to find an approximate solution of a system of differential equations of fractional order described in the Caputo sense. Some theorems are presented to prove the applicability ... -
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 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 solution method for integro-differential equations of conformable fractional derivative
(Vinca Inst Nuclear Scı, 2018)The aim of this work is to determine an approximate solution of a fractional order Volterra-Fredholm integro-differential equation using by the Sinc-collocation method. Conformable derivative is considered for the fractional ... -
LU triangularization extreme learning machine in EEG cognitive task classification
(Springer, 2019)Electroencephalography (EEG) has been used as a promising tool for investigation of brain activity during cognitive processes. The aim of this study is to reveal whether EEG signals can be used for classifying cognitive ... -
Approximate solutions of Volterra-Fredholm integro-differential equations of fractional order
(Tbilisi Centre For Mathematical Sciences, 2017)In this study, sine-collocation Method is introduced for solving Volterra-Fredholm integro-differential equations of fractional order. Fractional derivative is described in the Caputo sense, Obtained results are given to ... -
Analysis of functional brain connections for positive-negative emotions using phase locking value
(Springer, 2017)In this study, we investigate the brain networks during positive and negative emotions for different types of stimulus (audio only, video only and audio + video) in , and bands in terms of phase locking value, a nonlinear ... -
Kablosuz algılayıcı ağlar için yeni bir dinamik baz istasyonu konumlandırma yöntemi
(Pamukkale Üniversitesi, 2017)Kablosuz algılayıcı ağlarda(KAA) düğümlerin nasıl ve ne şekilde haberleşeceklerinin yanı sıra baz istasyonu konumlandırması da ağın enerji verimli olması, ağ yaşam süresinin uzatılması ve bunlara bağlı olarak gönderilecek ... -
Deep learning with 3D-second order difference plot on respiratory sounds
(Elsevier, 2018)The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ... -
Smart Robot Arm Motion Using Computer Vision
(Kaunas University of Technology, 2015)In this study computer vision and robot arm are used together to design a smart robot arm system which can identify objects from images automatically and perform given tasks. A serving robot application, in which specific ... -
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 ... -
ECG based human identification using Second Order Difference Plots
(Elsevier, 2019)Background and objective: ECG is one of the biometric signals that has been studied in peer-reviewed over past years. The developments on the signal analysis methods show that the studies on the ECG would continue unabatedly. ... -
ECPred: a tool for the prediction of the enzymatic functions of protein sequences based on the EC nomenclature
(BMC, 2018)Background: The automated prediction of the enzymatic functions of uncharacterized proteins is a crucial topic in bioinformatics. Although several methods and tools have been proposed to classify enzymes, most of these ... -
Differential convolutional neural network
(Elsevier, 2019)Convolutional neural networks with strong representation ability of deep structures have ever increasing popularity in many research areas. The main difference of Convolutional Neural Networks with respect to existing ...
