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Titlebook: Fertigungstechnik; A. Herbert Fritz,Günter Schulze Textbook 20109th edition Springer-Verlag Berlin Heidelberg 2010 Biegen.DIN.Entwicklung.

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31#
發(fā)表于 2025-3-26 23:51:10 | 只看該作者
Ubiquitous Service Capability Modeling and Similarity Based Searching the dynamics and relevance of sensor services. We also define a generic similarity metric for service capabilities and develop a heuristic searching algorithm based on this metric to find similar sensor services.
32#
發(fā)表于 2025-3-27 01:12:34 | 只看該作者
Patrick Chabalffiliated-private-value auction experiments eliminate the evaluative force..A tentative conclusion: subjects’ errors in Bayesian assessments, before public information is announced, create overbids relative to theory, overwhelming the evaluative force, and reducing strength and reliability of the st
33#
發(fā)表于 2025-3-27 05:50:58 | 只看該作者
Effect of Neural Blockade in the Acute Catabolic State,ub-mm (ALMA) and gamma-rays (INTEG- RAL), extending our coverage to important regions for the study of microquasars. Energy transport via relativistic jets is one of the most important physical mechan- isms taking place in compact objects. Large efforts have been devoted to properly understand the disk-jet co978-94-010-3828-7978-94-010-0700-9
34#
發(fā)表于 2025-3-27 10:29:21 | 只看該作者
35#
發(fā)表于 2025-3-27 13:51:55 | 只看該作者
The two key points stressed in this book are terminology and concepts. The objectives of this book are to enable the student: 1. To read articles in the field of data communications with an understand- ing of their content. 2. To be able to engage in knowledgeable discussions with communica- tions engineers 978-1-4615-9160-3978-1-4615-9158-0
36#
發(fā)表于 2025-3-27 19:24:30 | 只看該作者
P. W. M. Augustijn-Beckers,A. G. Hornsby,R. D. Wauchope have achieved huge successes on Euclidean data such as images, or sequence data such as text, there are many applications that are naturally or best represented with a graph structure. This gap has driven a tide in research for deep learning on graphs, among them Graph Neural Networks (GNNs) are th
37#
發(fā)表于 2025-3-28 00:55:31 | 只看該作者
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