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Toplam kayıt 8, listelenen: 1-8
Feature Selection and Classification of EEG Finger Movement Based on Genetic Algorithm
(IEEE, 2018)
Electroencephalography (EEG) classification for mental tasks is the crucial part of the brain-computer interface. Many studies try to extract discriminative features from EEG signals. In this study, feature selection ...
Signal Adaptive Q Factor Selection for Resonance Based Signal Separation using Tunable-Q Wavelet Transform
(IEEE, 2018)
Tunable Q wavelet transform (TQWT) was recently proposed as an efficient wavelet decomposition method which can match to the oscillatory behaviour of the signal. The selection of Q-factor is an important issue in obtaining ...
Feature Selection and Classification of EEG Finger Movement Based on Genetic Algorithm
(Proceedings - 2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018, 2018)
Electroencephalography (EEG) classification for mental tasks is the crucial part of the braincomputer interface. Many studies try to extract discriminative features from EEG signals. In this study, feature selection algorithm ...
Signal Adaptive Q Factor Selection for Resonance Based Signal Separation Using Tunable-Q Wavelet Transform
(2018 41st International Conference on Telecommunications and Signal Processing, TSP 2018, 2018)
Tunable Q wavelet transform (TQWT) was recently proposed as an efficient wavelet decomposition method which can match to the oscillatory behaviour of the signal. The selection of Q-factor is an important issue in obtaining ...
Analysis and classification of air disc brake sounds in time and frequency domain [Zaman ve Siklik Ortaminda Havali Disk Fren Seslerinin Incelenmesi ve Siniflandirilmasi]
(26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, 2018)
In this study, analysis and classification of audio data collected from faulty air disc brakes has been carried out by Fourier Transform (FT). The sound data have been recorded by 2 identical Norsonic Type 1228 microphones ...
Feature selection for ECG beat classification using genetic algorithms with a multi-objective approach [Çok Amaçli Yaklasimla Genetik Algoritmalar Kullanarak EKG Vuru Siniflandirmasi için Öznitelik Seçimi]
(26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, 2018)
To identify appropriate features in classification studies is a common problem in many areas. In this study, a genetic algorithm method with multi-objective approach is proposed for selecting the features that give high ...
Feature Selection for ECG Beat Classification using Genetic Algorithms with A Multi-objective Approach
(IEEE, 2018)
To identify appropriate features in classification studies is a common problem in many areas. In this study, a genetic algorithm method with multi-objective approach is proposed for selecting the features that give high ...
Analysis and Classification of Air Disc Brake Sounds in Time and Frequency Domain
(IEEE, 2018)
In this study, analysis and classification of audio data collected from faulty air disc brakes has been carried out by Fourier Transform (FT). The sound data have been recorded by 2 identical Norsonic Type 1228 microphones ...