Güncel Gönderiler: Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
Toplam kayıt 1693, listelenen: 1321-1340
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Elasticity Study of PAAm-kappa C Composite Prepared in Various kappa C Content and Measured at Several Temperatures
(Polish Acad Sciences Inst Physics, 2015)Polyacrylamide (PAAm)-kappa carrageenan (kappa C) composite gels were prepared via free radical crosslinking copolymerization with various (w/v) percentages of kappa C in the range between 0.5 and 3 (w/v)% of kappa C . ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method for Range Estimation in Cognitive Radios
(IEEE, 2014)A range estimation method 14 cognitive MIMO-OFDM radio systems is considered in this presentation. The range estimation problem is formulated as time delay estimation problem, and then adapted as multiple channel estimation ... -
Adaptive multichannel sequential lattice prediction filtering method for ARMA spectrum estimation in subbands
(Springer, 2013)A multichannel characterization for autoregressive moving average (ARMA) spectrum estimation in subbands is considered in this article. The fullband ARMA spectrum estimation can be realized in two-channels as a special ... -
The WS(2)dependence on the elasticity and optical band gap energies of swollen PAAm composites
(Sage Publications Ltd, 2021)New generation nano-filler polymer composites have many applications including biomedical, electronic and maritime related applications because of their mechanical, electronic and optical properties. The properties of ... -
Adaptive V-BLAST Type Channel Equalizer Design for Cognitive MIMO-OFDM Radios
(IEEE, 2013)A channel shortening equalizer design for cognitive Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) communication systems is considered in this presentation. The proposed receiver ... -
Sequential Combinations of Multiple Adaptive Lattice Filters in Cognitive Radio Channel Identification
(IEEE, 2017)Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio channel identification framework have been considered in this presentation. First, the ... -
Sequential convex combinations of multiple adaptive lattice filters in cognitive radio channel identification
(Springer, 2018)Sequential convex combinations of multiple adaptive lattice filters using different exponential weighting factors in cognitive radio (CR) channel identification framework have been considered in this presentation. First, ... -
Adaptive reconfigurable V-BLAST type equalizer for cognitive MIMO-OFDM radios
(Springer, 2015)An adaptive channel shortening equalizer design for multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) radio receivers is considered in this presentation. The proposed receiver has desirable ... -
Detrended fluctuation thresholding for empirical mode decomposition based denoising
(Academic Press Inc Elsevier Science, 2014)Signal decompositions such as wavelet and Gabor transforms have successfully been applied in denoising problems. Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary ... -
Breast Cancer Detection with Reduced Feature Set
(Hindawi Ltd, 2015)This paper explores feature reduction properties of independent component analysis (ICA) on breast cancer decision support system. Wisconsin diagnostic breast cancer (WDBC) dataset is reduced to one-dimensional feature ... -
Adaptive Multichannel Sequential Lattice Prediction Filtering Method For Cognitive Radio Spectrum Sensing in Subbands
(IEEE, 2012)A multichannel characterization for autoregressive moving average(ARMA) spectrum estimation in subbands with applications to cognitive radio spectrum sensing is considered in this presentation. The fullband ARMA spectrum ... -
Detrended Fluctuation Analysis For Empirical Mode Decomposition Based Denoising
(IEEE, 2014)Empirical mode decomposition (EMD) is a recently proposed method to analyze non-linear and non-stationary time series by decomposing them into intrinsic mode functions (IMFs). One of the most popular application of such a ... -
Breast Cancer Classification by Using Support Vector Machines with Reduced Dimension
(Croatian Society Electronics Marine, 2011)Correct and timely diagnosis of diseases is an essential matter in medical field. Limited human capability and limitations decrease the rate of correct diagnosis. Machine learning algorithms such as support vector machine ... -
A test and simulation device for Doppler-based fetal heart rate monitoring
(Tubitak Scientific & Technical Research Council Turkey, 2015)The Doppler effect is the preferred technique in fetal heart rate (FHR) monitoring devices. The main objective of the recent studies on the Doppler FHR has been to improve the accuracy. On the other hand, a reliable fetal ... -
Evaluation of bagging ensemble method with time-domain feature extraction for diagnosing of arrhythmia beats
(Springer London Ltd, 2014)We explore the effect of using bagged decision tree (BDT) as an ensemble learning method with proposed time-domain feature extraction methods on electrocardiogram (ECG) arrhythmia beat classification comparing with single ... -
Random subspace method with class separability weighting
(Wiley, 2016)The random subspace method (RSM) is one of the ensemble learning algorithms widely used in pattern classification applications. RSM has the advantages of small error rate and improved noise insensitivity due to ensemble ... -
EOG denoising using empirical mode decomposition and detrended fluctuation analysis
(IEEE, 2014)In this study, a method is presented for the removal of electrooculogram (EOG) noise from electroencephalography (EEG) recordings by using recently proposed data driven approach called Empirical Mode Decomposition (EMD). ... -
ECG feature extraction based on the bandwidth properties of variational mode decomposition
(Iop Publishing Ltd, 2016)It is a difficult process to detect abnormal heart beats, known as arrhythmia, in long-term ECG recording. Thus, computer-aided diagnosis systems have become a supportive tool for helping physicians improve the diagnostic ... -
Electrical, optical and mechanical properties of PS/GNP composite films
(Taylor & Francis Ltd, 2018)In this study, the electrical, optical and mechanical properties of polystyrene (PS) thin films added graphene nanoplatelet (GNP) have been investigated. Surface conductivity (sigma), absorbance intensity (A) and tensile ... -
ECG signal analysis based on variational mode decomposition and bandwidth property
(IEEE, 2016)In this paper, the bandwidth properties of the modes obtained using the variational mode decomposition (VMD) are analyzed to detect arrhythmia electrocardiogram (ECG) beats. The VMD is an enhanced version of the empirical ...
