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Quality Determination by Using Support Vector Machine in Gas Welding Applications
(Ieee, 2019)
The robots used in the manufacturing industry and the sensors from the automation system can be used to automatically perform quality checks. Gas welding robots can operate autonomously, but quality controls are carried ...
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 ...
Convolutional Neural Network Designs for Finger-vein-based Biometric Identification
(Ieee, 2019)
With the increase in the number of publicly available finger-vein datasets, most of the recent studies on finger-vein biometrics have started to use Convolutional Neural Networks (CNNs). Since it is not an easy task to ...
Kurtosis-Based CRTRL Algorithms for Fully Connected Recurrent Neural Networks
(Ieee-Inst Electrical Electronics Engineers Inc, 2018)
In this paper, kurtosis-based complex-valued real-time recurrent learning (KCRTRL) and kurtosis-based augmented CRTRL (KACRTRL) algorithms are proposed for training fully connected recurrent neural networks (FCRNNs) in the ...
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 ...
An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings
(Ieee, 2017)
In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) ...
An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals
(Ieee-Inst Electrical Electronics Engineers Inc, 2018)
In this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is proposed for processing complex-valued signals. The negated kurtosis of the complex-valued error signal is defined as a cost function ...
An augmented complex-valued Lyapunov stability theory based adaptive filter algorithm
(Elsevier, 2017)
A novel augmented complex-valued Lyapunov stability theory (LST) based adaptive filter (ACLAF) algorithm is proposed for the widely linear adaptive filtering of noncircular complex-valued signals. After a candidate Lyapunov ...
A generalized Lyapunov stability theory-based adaptive FIR filter algorithm with variable step sizes
(Springer London Ltd, 2017)
This paper presents a novel approach to Lyapunov stability theory-based adaptive filter (LAF) design. The proposed design is based on the minimization of the Euclidean norm of the difference weight vector under negative ...
A novel system for automatic removal of ocular artefacts in EEG by using outlier detection methods and independent component analysis
(Pergamon-Elsevier Science Ltd, 2017)
ElectroEncephaloGram (EEG) gives information about the electrical characteristics of the brain. EEG can be used for various applications, such as diagnosis of diseases, neuroscience and Brain Computer Interface (BCI). ...
