Titlebook: Leistungsf?higkeit im Betrieb; Kompendium für den B Institut für angewandte Arbeitswissensch Book 2015 Springer-Verlag Berlin Heidelberg 20

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書目名稱Leistungsf?higkeit im Betrieb影響因子(影響力)




書目名稱Leistungsf?higkeit im Betrieb影響因子(影響力)學(xué)科排名




書目名稱Leistungsf?higkeit im Betrieb網(wǎng)絡(luò)公開度




書目名稱Leistungsf?higkeit im Betrieb網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Leistungsf?higkeit im Betrieb被引頻次




書目名稱Leistungsf?higkeit im Betrieb被引頻次學(xué)科排名




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書目名稱Leistungsf?higkeit im Betrieb年度引用學(xué)科排名




書目名稱Leistungsf?higkeit im Betrieb讀者反饋




書目名稱Leistungsf?higkeit im Betrieb讀者反饋學(xué)科排名

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Corinna Jaeger elements of machinery, in particular those operating under the extreme conditions of high temperatures and loads. These elements are produced of difficult-- machine high-alloy steels, nickel refractory alloys, high-tech ceramics, materials with metallic and non-metallic 978-1-4020-3470-1978-1-4020-3471-8Series ISSN 1568-2609

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le Assessment (LCA). “Innovative Structural Materials for Multi-Materialization” is designed to pass on the science and technology to the next generation of engineers and researchers for further development.The main results of this project are introduced with a brief description of the basic knowled

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on-exhaustive) overview of the current efforts to synthesize and characterize carbon, boron nitride and other fullerenes. The third part will deal with the possible role that light element nanostructures may play in hydrogen storage, a technical challenge of great importance to a global society and

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Sibylle Adenaueron-exhaustive) overview of the current efforts to synthesize and characterize carbon, boron nitride and other fullerenes. The third part will deal with the possible role that light element nanostructures may play in hydrogen storage, a technical challenge of great importance to a global society and

有限

SPER

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的事物

Ausilio Giuseppe M. Sc.,Norbert Baszenski,Julia Teipel,Frank Lennings,habil. Ralf Neuhaus,Stephan Satch the given data is called the inverse optimization problem. Machine learning models such as statistical models and neural networks can be used to construct mathematical models from big data. However, it is not easy to explain the causal relationship of the obtained results with these models alone