Titlebook: Neugeborenen-Intensivpflege; Grundlagen und Richt Lutz Wille,Michael Obladen Book 19781st edition Springer-Verlag Berlin Heidelberg 1978 As

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L. Willeimportant mathematical complexity reduction, little mathematical knowledge of the model work, and they can obtain results from imprecise data. Broadly stated, fuzzy logic control attempts to come to terms with the informal nature of the control design process. In its most basic form, the so-called M

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M. Obladenimportant mathematical complexity reduction, little mathematical knowledge of the model work, and they can obtain results from imprecise data. Broadly stated, fuzzy logic control attempts to come to terms with the informal nature of the control design process. In its most basic form, the so-called M

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M. Obladen decomposition and vector quantization. In digital mammograms, important diagnostic features such as the microcalcifications appear in small clusters of few pixels with relatively high intensity compared with their neighboring pixels. These image features can be preserved by a compression scheme emp

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M. Obladennalysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions invol

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M. Obladensing tasks using the compressed form of images, which can be accessed directly from digital library. The present chapter is focused on two algorithms. In the first algorithm a fractal based image compression technique using genetic algorithms has been suggested. In particular, the genetic algorithm