Browsing Scopus İndeksli Yayınlar Koleksiyonu by Language "tur"
Now showing items 1-20 of 42
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8 Channel Mobile EEG Measurement Device Design
(Ieee, 2018)The need for portable and wearable EEG measurement systems has increased with the widespread use of EEG signals in many applications. In this study, a portable EEG measurement system with 8 channels, small size, wireless ... -
Amputee Electromyography Signal Classification Using Convolutional Neural Network
(Institute of Electrical and Electronics Engineers Inc., 2020)The classification of EMG signals for the amputees is important to develop a powered-prosthetic that is capable of replacing with lost limbs. The EMG signals collected from residual limbs reduce the classification accuracy ... -
Application of of Ray Tracing Technique into S-UTD-CH Model
(Ieee, 2015)To make higher accuracy predictions having less computation complexity, lower computation time, a lot of electromagnetic wave propagation models are developed. These models are classified into two classes, ray tracing based ... -
Automatic removal of ocular artefacts in EEG signal by using independent component analysis and artificial neural network
(Institute of Electrical and Electronics Engineers Inc., 2017)Ocular artefacts caused by eye movements can distort Electroencephalogram (EEG) recordings. It is important to obtain clean EEG signals in diagnosing and interpreting diseases. Meaningful EEG signals should not be distorted ... -
Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion
(Ieee, 2015)Eye movements (saccade, blink and cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of ... -
Building Parameter Analysis with S-UTD-CH model in Multiple Diffraction
(Ieee, 2015)Electromagnetic wave propagation models are used in radio planning tool and coverage prediction. These models are based on ray tracing technique or numerical. Slope UTD with convex hull model is a model which has less ... -
Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications
(Ieee, 2019)Electroencephalography (EEG) signals have been using for clinical purposes for many years. However, studies on the use of EEG signals in brain computer interface (BBA) applications are increasing. It is possible to control ... -
Classification of Motor Imaginary Signals Using Stacked Autoencoders
(Institute of Electrical and Electronics Engineers Inc., 2020)Motor imagery signals are one of the electroencephalography signals that occurs by subjects imagining the movement of a body limb and they used in brain computer interface applications. With the use of deep neural networks ... -
Complex-Valued Least Mean Kurtosis Adaptive Filter Algorithm
(Ieee, 2016)In this study, a complex-valued least mean Kurtosis (CLMK) adaptive filter algorithm is designed for processing complex-valued signals. The performance of the designed algorithm is tested on a complex-valued system ... -
Compression of ECG Signals Using Long Short-Term Memory based Sequence-to-Sequence Autoencoder
(Institute of Electrical and Electronics Engineers Inc., 2020)This study proposes a novel long short-term memory based sequence-to-sequence autoencoder model to compress ECG signals. The efficiency of this new method is illustrated on MIT-BIH Arrhythmia dataset. In the conducted ... -
Coverage Prediction for Double Diffraction Scenarios
(Ieee, 2018)Prediction of coverage is very important in order to increase QoS and determine blind spot in communication systems. Obstructions in the scenarios can block the rays emanating from the transmitter and reaching on the ... -
Deep Neural Network Training with iPSO Algorithm
(Ieee, 2018)Deep learning-based methods are frequently preferred in many areas in recent years. Another issue, which is as important as deep neural networks applications, is the training of deep neural networks. Although many techniques ... -
Denizel diatom izolasyonu, tanımlanması ve besin maddelerinin diatom büyümesi üzerine etkisinin incelenmesi
(2019)Son yıllarda oldukça dikkat çeken mikroalgler sağlık, gıda, kozmetik, çevre ve biyoyakıt üretimi alanlarında kullanım potansiyeli bulunan yeni nesil hammadde kaynaklarıdır. Bu çalışmada, hem bulunma miktarı hem de fonksiyonları ... -
Determination of antimicrobial activities of different flower honeys
(Bursa Uludag University, 2020)Honey is highly nutritious, and a functional food rich in bioactive components. The biological activity of honey differs according to its botanical origin, geographic properties, and climate characteristics. Therefore, it ... -
Determination of Optimum Base Station Location by Using UTD Model
(Ieee, 2018)Predicting electric field is vital for designing more reliable communication system. In order to increase QoS, firstly electric field should be calculated, next observed whether the field passing the threshold field strength ... -
Determination of Optimum Base Station Location with Signal Processing Techniques
(Institute of Electrical and Electronics Engineers Inc., 2020)To deploy a transmitter to correct place is so important for more qualified wireless communication systems. In order deploy the transmitter to correct place, it is required to calculate the electric field strength emanates ... -
DWT-Based Islanding Detection Method for DFIG-typed WTs
(Institute of Electrical and Electronics Engineers Inc., 2020)In this study, it is aimed to image the transparent objects by applying the phase shifting technique to lateral shearing digital holographic microscopy. In order to extract the phase information from interference patterns ... -
ECG Compression method based on convolutional autoencoder and discrete wavelet transform
(Institute of Electrical and Electronics Engineers Inc., 2020)In this work, a compression method based on one dimensional convolutional autocoder architecture and wavelet transform is proposed for the compression of ECG signals. The proposed method is tested on the MIT-BIH Arrhythmia ... -
Enhancement of Finger Vein Images Using Gabor Filter
(Ieee, 2018)In this study, rather than locating a fixed region of interest directly on finger vein images, spatial filtering is applied and a texture-based edge detection method is used to give stable results. Koschmieder's Law, which ... -
Epileptic Seizure Prediction with Recurrent Convolutional Neural Networks
(Ieee, 2017)In this paper, the use of recurrent convolutional neural networks for predicting epileptic seizures is proposed. Effective methods for predicting epileptic seizures need to be developed for the design of diagnostic and ...
