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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. ...
Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila
(Journal of General Physiology, 2006)
At the layer of first visual synapses, information from photoreceptors is processed and transmitted towards the brain. In fly compound eye, output from photoreceptors (R1-R6) that share the same visual field is pooled and ...
Applications of parametric spectral estimation methods on detection of power system harmonics
(ELSEVIER SCIENCE SA, 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. ...
Determining a continuous marker for sleep depth
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
Detection and quantification of sleep arousals is an important issue, as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging, electroencephalograph (EEG) ...
Gene expression profile class prediction using linear Bayesian classifiers
(PERGAMON-ELSEVIER SCIENCE LTD, 2007)
Due to recent advances in DNA microarray technology, using gene expression profiles, diagnostic category of tissue samples can be predicted with high accuracy. In this study, we discuss shortcomings of some existing gene ...
Feedback network controls photoreceptor output at the layer of first visual synapses in Drosophila
(ROCKEFELLER UNIV PRESS, 2006)
At the layer of first visual synapses, information from photoreceptors is processed and transmitted towards the brain. In fly compound eye, output from photoreceptors (R1 - R6) that share the same visual field is pooled ...
Gene expression profile classification: A review
(BENTHAM SCIENCE PUBL LTD, 2006)
In this review, we have discussed the class-prediction and discovery methods that are applied to gene expression data, along with the implications of the findings. We attempted to present a unified approach that considers ...
Obtaining Volterra Kernels from Neural Networks
(SPRINGER-VERLAG BERLIN, 2007)
Both neural networks (NN) and Volterra series (VS) are widely used in nonlinear dynamic system identification. In VS approach, the system is modeled using a set of kernel functions that correspond to different order ...
Gene expression profile class prediction using linear Bayesian classifiers
(Computers in Biology and Medicine, 2007)
Due to recent advances in DNA microarray technology, using gene expression profiles, diagnostic category of tissue samples can be predicted with high accuracy. In this study, we discuss shortcomings of some existing gene ...
Determining a continuous marker for sleep depth
(Computers in Biology and Medicine, 2007)
Detection and quantification of sleep arousals is an important issue, as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging, electroencephalograph (EEG) ...
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