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Titlebook: Neurologie; Ein Lehrbuch für Stu Klaus Poeck Textbook 19826th edition Springer-Verlag Berlin Heidelberg 1982 Neurologie

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Klaus Poeckprovement for existing approaches.Develops an automated fram.Neural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex g
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Klaus Poeckng tradition, at least among English-speaking psychologists, that regarded infancy as a period in which very little of interest was going on, or, more exactly stated, that there was little that could be studied in the perceptual activities of the human infant. All this changed when Berlyne (1958) an
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Klaus Poeckthe state-of-the-art spatial characterization techniques and approaches. Amongst the approaches discussed are visual imaging, electro- and photo-luminescence imaging, thermography, and light beam induced mapping techniques. Emphasis is given on the luminescence image acquisition and interpretation d
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Klaus Poeckl on non-standard networked population structures such as sm.Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties
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Klaus Poeckl on non-standard networked population structures such as sm.Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties
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Klaus Poeckl on non-standard networked population structures such as sm.Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties
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