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Titlebook: Robot Adventures in Python and C; Thomas Bräunl Textbook 20201st edition Springer Nature Switzerland AG 2020 Robotics.Planning.Artificial

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Thomas Bräunlolecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then978-3-540-92910-9
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Thomas Bräunls computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then
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Thomas Bräunls computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then
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Thomas BräunlMT systems on the basis of different measures. We outline the requirements and specific problems when using different optimization approaches and describe how the characteristics of different MT metrics affect the optimization. Finally, we describe novel recent and ongoing work on the development of
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Thomas Bräunlading so that their speech is more spontaneous, or if the speakers have an accent or are speaking a dialect, or if there is any acoustic degradation, such as noise or reverberation. In these cases, the word error can increase significantly to 20%, 30%, or higher. Accordingly, most of this chapter di
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Thomas Bräunlared with a variety range of optimization methods, including six popular, and six newly developed methods from the literature. Besides, two well-known non-parametric statistical methods, Friedman and Wilcoxon signed-rank, are utilized to analyze the performance of the developed method, and results s
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Thomas Bräunln. Genetic algorithm is used to optimize the output design. i.e., maximize the similarity between the input sketched design by the user and the output design using golden ratio in less computational time. The data set presented in this work is collected by the authors and could be downloaded from th
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