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Titlebook: The Impact of the 4th Industrial Revolution on Engineering Education; Proceedings of the 2 Michael E. Auer,Hanno Hortsch,Panarit Sethakul C

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Wissenschaftlicher Beirat der Bundesregierung Globale Umweltveränderungen (WBGU)eritage, part of which is the result of the evolution of behavior through natural selection. This chapter examines the phylogenetic bases of differences in sexual behavior between the sexes. Especially in the Introduction, it is intended to familiarize readers from other disciplines with some of the
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SoC-GANs: Energy-Efficient Memory Management for System-on-Chip Generative Adversarial Networkspervised learning, therefore making GANs extremely useful in data generation applications such as text to image synthesis, image classifications, mobile robots and video prediction, to name a few. But GANs are quite computationally expensive due to non-standard convolution operations, such as stride
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Metal Forging and then highlights the advantages and limitations of forging process. Different types of forging operations (e.g., open-die forging, closed-die forging, flash-less forging) are classified and described with the aid of sketches. Hammer forging and press forging are also differentiated and explained
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,Quid pro quo? – Entwicklung des Wirtschaftsverkehrs in Binnenhäfen in Abhängigkeit von alternativenchlagkapazitäten in den Verkehrsknoten. Zusätzlich erwächst der Hafenwirtschaft zunehmend Konkurrenz durch städtebauliche Interessen und heranrückende Bebauung. Die daraus folgenden Nutzungskonflikte führen zu einer Beeinträchtigung des Hafenbetriebs und verschärfen die Kapazitätsproblematik. Bislan
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Die Verbreitung rechtsextremer Einstellung in Deutschland,ergleichbarkeit dieser ersten Studien begegnete die Forschung mit der Entwicklung einer Konsensdefinition und der Durchführung von Langzeitstudien. Herausforderungen bestehen durch die Veränderungen des Phänomens, wobei gleichzeitig Vergleichbarkeit der Messungen über Zeit und Raum angestrebt werden sollte.
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Customer-Value Based Segmentation and Characteristics Analysis of Credit Card Revolvertering results. In addition, demographic characteristics are analyzed by logistic regression. The results show education has negative relationship with high-value revolver and we find female, younger, high income, works in non-government organizations and non-state-owned enterprises have a higher probability of being high-value revolver.
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https://doi.org/10.1007/978-3-642-01636-3nally intensive algorithms selected from different benchmarks. Superlinear speedups in terms of throughput are accomplished for the processor array approach. In addition, area and power cost are reduced.
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