Titlebook: Life System Modeling and Intelligent Computing; International Confer Kang Li,Li Jia,George W. Irwin Conference proceedings 2010 Springer-Ve

結(jié)構(gòu)

Characterization of Cerebral Infarction in Multiple Channel EEG Recordings Based on Quantifications e–frequency representations (TFRs) of EEG signals recorded from both normal subjects and CI patients. The corresponding characteristics were depicted by relative frequency band energy (RFBE) and Shannon entropy (SE) of TFR. Comparing with the normal subjects, the CI patients had some changes in EEG

Scleroderma

Research on a Novel Medical Image Non-rigid Registration Method Based on Improved SIFT Algorithm feature matching algorithm. First, Harris corner detection algorithm is used in the process of scale invariant feature extraction, so the number of right matching points is increased; with regard to the feature points detected in the scale space, an improved SIFT feature extraction algorithm with g

裙帶關(guān)系

Automatic and Reliable Extraction of Dendrite Backbone from Optical Microscopy Imagesiseases. As a big challenge, the research of extraction of dendritic backbones using image processing and analysis technology has attracted many computational scientists. This paper proposes a reliable and robust approach for automatically extract dendritic backbones in 3D optical microscopy images.

過濾

Magnetic Induction Tomography: Simulation Study on the Forward Problemhe intracranial hemorrhage. The forward problem is the eddy current problem which is useful for improving the resolution of the measurement system and provides basic data for the inverse problem of image reconstruction. Simulation study on the forward problem in this paper includes four parts: illus

STANT

Diagnosis of Liver Diseases from P31 MRS Data Based on Feature Selection Using Genetic Algorithmmical content of the energy metabolism in cellular level. The data samples from P31 MRS are classified into three types of hepatocellular carcinoma, hepatic cirrhosis and normal hepatic tissue using computational intelligence methods. A genetic algorithm is used as main feature selection method and

carotid-bruit

Research of Acupuncturing Based on Hilbert-Huang Transformit attracts many researchers to this field. The aim of our research is to explore the regulative effects of acupuncturing Neiguan and Shenmen acupoints. In this paper, a research based on Hilbert-Huang Transform (HHT) is presented. With this method, the energy is redistributed after the acupuncture,

thrombus

A New Microphone Array Speech Enhancement Method Based on AR Modelement method based on autoregressive model (AR). First, for the input matrix, the method adopts the generalized cross correlation method based on onset signals to estimate the time delay. Then according to the time delay information, the method calculates the linear prediction coefficient of signals

幸福愉悅感

A Forecast of RBF Neural Networks on Electrical Signals in Senecio Cruentusectrical signals denoised by the wavelet soft threshold and using Gaussian radial base function (RBF) as the time series at a delayed input window chosen at 50. An intelligent RBF forecasting model was set up to forecast the weak signals of all plants in the globe. Testing result shows that it is fe

宣誓書

和平

els – individual practices, organisational structure and insThis book offers a comprehensive investigation of the ways in which social media has affected change to the constitution of mainstream journalism. The volume does this in a unique way – by tracing the links between the different changes soc