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Titlebook: Riementriebe, Kettentriebe, Kupplungen; Vortr?ge und Diskuss K. Kollmann,K. H. Bussmann,E. Fuhrmann Book 1954 Springer Fachmedien Wiesbaden

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樓主: tornado
11#
發(fā)表于 2025-3-23 13:39:47 | 只看該作者
K. Kollmann,K. H. Bussmann,A. Dahl,G. Morchutt,B. Arp,Obering F. Pahl,E. Link,P. Pietsch,A. Eisenach
12#
發(fā)表于 2025-3-23 14:49:50 | 只看該作者
13#
發(fā)表于 2025-3-23 18:08:54 | 只看該作者
c robots to roughly emulate the physical dynamics and motor dexterity of humans while playing musical instruments. In particular, research on musical robots provides opportunity to study several aspects outside of robotics, including understanding human motor control from an engineering point of vie
14#
發(fā)表于 2025-3-24 01:45:49 | 只看該作者
15#
發(fā)表于 2025-3-24 05:26:39 | 只看該作者
K. H. Bussmannome of methods for splitting data into training, validation, and test sets. A network should be constantly assessed during training in order to diagnose it if it is necessary. For this reason, we showed how to train a network using Python interface of Caffe and evaluate it constantly using training-
16#
發(fā)表于 2025-3-24 10:12:44 | 只看該作者
17#
發(fā)表于 2025-3-24 13:45:35 | 只看該作者
G. Morchuttf misusing organizations’ computer systems, networks, infrastructure resources, and others? The number and the sophistication of cyberattacks on computer systems, networks, and infrastructure resources is on the rise, and cyberattackers sniffing around for vulnerabilities. Furthermore, cyberattacker
18#
發(fā)表于 2025-3-24 18:40:49 | 只看該作者
B. Arpn is not a single objective; it is a multifaceted approach depending on the goals of the respective industry and digital maturity. Thus, digital transformation is the way of change from a monolithic business approach to fully digitized business concepts. Therefore, Chap. . introduces us to relevant
19#
發(fā)表于 2025-3-24 21:31:16 | 只看該作者
A. Eisenachortant. More and more big data are present in all kinds of research or commercial challenges. Consequently, the DataFlow paradigm is getting importance, since it has been proven that it is the most suitable computing paradigm for big data. It offers superior speedups (depending on the application, f
20#
發(fā)表于 2025-3-24 23:29:21 | 只看該作者
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