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Applications of parametric spectral estimation methods on detection of power system harmonics
(Electric Power Systems Research, 2008)
Harmonics are the major power quality problems in industrial and commercial power systems. Several methods for detection of power system harmonics have been investigated by engineers due to increasing harmonic pollution. ...
Classification of EEG recordings by using fast independent component analysis and artificial neural network
(Journal of Medical Systems, 2008)
Since there is no definite decisive factor evaluated by the experts, visual analysis of EEG signals in time domain may be inadequate. Routine clinical diagnosis requests to analysis of EEG signals. Therefore, a number of ...
Long term energy consumption forecasting using genetic programming
(Mathematical and Computational Applications, 2008)
Managing electrical energy supply is a complex task. The most important part of electric utility resource planning is forecasting of the future load demand in the regional or national service area. This is usually achieved ...
Frequency domain analysis of power system transients using Welch and Yule-Walker AR methods
(Energy Conversion and Management, 2007)
In this study, power quality (PQ) signals are analyzed by using Welch (non-parametric) and autoregressive (parametric) spectral estimation methods. The parameters of the autoregressive (AR) model were estimated by using ...
A novel mobile epilepsy warning system
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006)
This paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get ...
Comparison of AR and Welch methods in epileptic seizure detection
(Journal of Medical Systems, 2006)
Brain is one of the most critical organs of the body. Synchronous neuronal discharges generate rhythmic potential fluctuations, which can be recorded from the scalp through electroencephalography. The electroencephalogram ...
Image Enhancement In Positron Emission Tomography Using Expectation Maximization
(2006)
Positron Emission Tomography (PET) tomography is one of the imaging modality. PET Tomography scanners collect measurements of a patient's in vivo radiotracer distribution. These measurements are reconstructed into ...
Classification of EEG recordings by using fast independent component analysis and artificial neural network
(SPRINGER, 2008)
Since there is no definite decisive factor evaluated by the experts, visual analysis of EEG signals in time domain may be inadequate. Routine clinical diagnosis requests to analysis of EEG signals. Therefore, a number of ...
Frequency domain analysis of power system transients using Welch and Yule-Walker AR methods
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
In this study, power quality (PQ) signals are analyzed by using Welch (non-parametric) and autoregressive (parametric) spectral estimation methods. The parameters of the autoregressive (AR) model were estimated by using ...
A novel mobile epilepsy warning system
(SPRINGER-VERLAG BERLIN, 2006)
This paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get ...
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