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Cortical neural networks are known to exhibit the spontaneous spiking activity with low firing rate (≈ 1 [Hz]) and high randomness, but the high coherent spike transmission between specific neurons. Recently, the genesis and function of this spontaneous activity in the brain has been increasingly gaining attention. Teramae et al. proposed that these features can be caused by the synaptic weights following...
A mammography exam, called a mammogram, is an important examination aid that is designed to help human in the early detection and diagnosis of breast diseases especially in women. Image processing is using for detecting for objects in mammogram images. Edge detection; which is a method of determining the discontinuities in gray level images; is a very important initial step in Image processing. Many...
We propose a composite centrality measure for general weighted and directed complex networks, based on measure standardisation and statistical normalization, whereby the composite measure is expected to follow a standard log-normal distribution. This offers a natural and absolute scale to measure node and edge centralities for complex networks. Considering snapshots of the world trade web, we demonstrate...
Image thresholding is a technique used to estimate threshold values for segmenting an input image into distinct regions. The goal of image thresholding is to simplify or change the representation of an image into something that is easier to analyze and is more meaningful. The most famous image thresholding method is Otsu's global automatic image thresholding method which has been widely applied in...
Giving the methods to construct control lines of mean-range control charts and parameters evaluation for quality characteristic obeys to log-normal distribution based on parameter bootstrap method, then comparing with the three conditions of parameter bootstrap method, non-parameter bootstrap method and skewness correction method using simulation.
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