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Titlebook: Die Zukunft kommt — wohin geht die Wirtschaft?; Gesellschaftliche He Ewald E. Krainz,Ruth Simsa Book 1999 Betriebswirtschaftlicher Verlag D

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發(fā)表于 2025-3-25 04:01:25 | 只看該作者
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發(fā)表于 2025-3-25 11:07:47 | 只看該作者
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發(fā)表于 2025-3-25 13:16:51 | 只看該作者
Learning Comparative Analysis of Teaching Models Based on Smart Platforms——Takes ERP Principles and nd. Hybrid teaching is a feasible way to improve teaching quality in the teaching reform, and it is important to explore the effect of online and offline hybrid teaching mode. This paper has analyzed the data of an example course—ERP principles and applications, on the EduCoder practice smart platfo
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發(fā)表于 2025-3-25 19:38:37 | 只看該作者
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發(fā)表于 2025-3-25 21:59:17 | 只看該作者
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發(fā)表于 2025-3-26 03:29:22 | 只看該作者
Implementing Multimodal Conversational Interfaces Using Android Wearemployed in a wide variety of devices such as smartphones and wearables, with different input and output capabilities. Traditional speech-based multimodal interfaces were designed for Web and desktop applications, but current devices pose particular restrictions and challenges for multimodal interac
27#
發(fā)表于 2025-3-26 05:32:57 | 只看該作者
Book 2014Latest editionbackground and algorithmic aspects of the most successful steady-state, transient and voltage stability solutions available today in real-time. It also describes new, cutting-edge stability applications of synchrophasor technology, and captures industry acceptance of metrics and visualization tools
28#
發(fā)表于 2025-3-26 11:25:36 | 只看該作者
29#
發(fā)表于 2025-3-26 16:31:26 | 只看該作者
J. C. Lienards to provide for this in the form?of innovations while taking the physical and mechanical interdependencies into account. Confronting these new?developments is a challenge for simulation and testing..978-3-658-18458-2978-3-658-18459-9Series ISSN 2198-7432 Series E-ISSN 2198-7440
30#
發(fā)表于 2025-3-26 17:26:01 | 只看該作者
Entropy and Learning,le it takes a fraction of a second to recognize a face). The widely accepted explanation for this fact is the high level of parallel processing in the brain, each neuron being connected to thousands of other neurons. This high connectivity is also the characteristic feature of what are called neural networks.
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