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Titlebook: Advanced Intelligent Systems; Yong Soo Kim,Young J. Ryoo,Young-Chul Bae Conference proceedings 2014 Springer International Publishing Swit

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楼主: GERM
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Augen und vegetatives Nervensystem,m applies edge detection and the connected-component labeling to extract numeral regions in counters of a gas mater. Gas consumption is estimated based on shape characteristics of numerals. The system uses number of endpoints and holes in numerical character, and it calculates a direction histogram
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,Entzündung und vegetatives Nervensystem,i city. As a result, SARIMA model obtained the highest total of CC=0.733, MAPE = 13.4 in inland place, and AR model obtained the highest total of CC=0.549, MAPE = 13.9 in coastal place. The prediction in inland place got enough precision. On the other hand, the prediction in the coastal place didn’t
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,Entzündung und vegetatives Nervensystem,ght and number of steps. To predict it, we make autoregressive (AR) model, liner prediction model, body weight based prediction model and steps based prediction model. These models are boosted by fuzzy logic. The fuzzy degrees are calculated from mean absolute prediction error, correlation coefficie
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Darm und vegetatives Nervensystem,r unhealthy seminiferous tubules. We make cross-section images that consist of multiplying fuzzy degrees depending on amplitude and frequency of line echoes. The images are healthy or unhealthy seminiferous tubules images (HSI or USI) that indicate distribution of healthy or unhealthy seminiferous t
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