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Titlebook: Reise in das Innerste der Dinge; Vom Abenteuer des ph James S. Trefil Book 1984 Springer Basel AG 1984 Abenteuer.Physik.Reise.Sehen

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樓主: Racket
41#
發(fā)表于 2025-3-28 17:50:24 | 只看該作者
42#
發(fā)表于 2025-3-28 20:00:48 | 只看該作者
Theories of the Operation and Management of Enterprisesket its products and finally maximize its profit. This involves two main aspects: how to motivate workers at the enterprise and how to decrease the number of mistakes workers make. With respect to business efficiency, the Westernization Group stressed the importance of enforcing management. This cha
43#
發(fā)表于 2025-3-29 02:49:32 | 只看該作者
Broadcasting with Universal Lists Revisited: Using Competitive Analysisas introduced in [.].We propose a new measure of the efficiency of a broadcasting scheme, which is obtained from the . [.],[.], and we design new broadcasting schemes for lines, complete .-ary trees, grids, complete graphs, and hypercubes.
44#
發(fā)表于 2025-3-29 05:27:35 | 只看該作者
45#
發(fā)表于 2025-3-29 11:08:02 | 只看該作者
A Data Services Composition Approach for Continuous Query on Data Streamsuery on views satisfying the containment relationship of both data part and time synchronization part. We also present use case and experimental studies indicating that the approach is effective and efficient.
46#
發(fā)表于 2025-3-29 14:07:01 | 只看該作者
https://doi.org/10.1007/978-88-470-0692-8 order logic semantics for CGs is still valid for our generalized model. This, plus the ease of doing important reasonings with CGs —for instance plausible reasonings by using some maximal join operations— without, at least for the moment, logical semantics, strengthens our belief that CGs must also
47#
發(fā)表于 2025-3-29 17:54:15 | 只看該作者
Bernd Kahlbrandtference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a fou
48#
發(fā)表于 2025-3-29 21:02:22 | 只看該作者
Cross-domain Tongue Image Segmentation Based on Deep Adversarial Networks and Entropy Minimizationorce high certainty of model’s prediction on target domain during the trend of domain alignment. Specifically, we pre-trained the tongue image segmentation model with deep supervised method on the source domain. In addition to segmentation task, the segmentation model need to regularize entropy of o
49#
發(fā)表于 2025-3-30 01:48:28 | 只看該作者
50#
發(fā)表于 2025-3-30 07:33:10 | 只看該作者
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