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Titlebook: Hilfsbuch für Betriebsberechnungen; Mit besonderer Berüc B. M. Konorski Book 1930 Julius Springer in Berlin 1930 Abfall.Anlage.Dampfmaschin

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樓主: Iodine
21#
發(fā)表于 2025-3-25 06:16:01 | 只看該作者
22#
發(fā)表于 2025-3-25 07:30:32 | 只看該作者
B. M. Konorski is introduced into the Duffing oscillator to create a new Duffing oscillator model. Then analyzes the model by Melnikov equation, and the state form of the Duffing oscillator different from the traditional theory is obtained, that is, the probability period state of the oscillator under narrowband
23#
發(fā)表于 2025-3-25 12:06:45 | 只看該作者
aking, the book describes new techniques for authoring tools that facilitate the construction by game designers (typically nonprogrammers) of behavior controlling software, by reusing patterns or actual.cases of past behavior. Additionally, the book will cover a number of approaches proposed for ext
24#
發(fā)表于 2025-3-25 18:43:50 | 只看該作者
25#
發(fā)表于 2025-3-25 22:54:23 | 只看該作者
B. M. Konorski the same time, the fire safety problems of warehouses have become increasingly prominent. Intelligent fire-fighting robots can be used for warehouse fire-fighting monitoring and fire fighting 24 h a day. Multi-robots can perform the duty of patrolling and extinguishing fires. However, multi-robots
26#
發(fā)表于 2025-3-26 02:19:16 | 只看該作者
27#
發(fā)表于 2025-3-26 07:09:14 | 只看該作者
B. M. Konorskio produce the answer to the question. The common framework consists of a language understanding module, a visual understanding module, a signal fusion module, and an answer prediction module. Most existing works employed recurrent neural network-based models for the language understanding module. Ho
28#
發(fā)表于 2025-3-26 10:17:28 | 只看該作者
B. M. Konorskif the intelligent transportation. Network Virtualization (NV) enables flexible, cost-effective and on-demand services over the deployments of heterogeneous network service requests on a shared physical infrastructure. The most challenging problem of NV is Virtual Network Embedding (VNE) which involv
29#
發(fā)表于 2025-3-26 16:14:25 | 只看該作者
B. M. Konorskitoward solving these problems, this paper proposes a learning model, the BRT Algorithm with Q-Learning (hereafter, QBRT), based on the Bias and Rising Threshold (hereafter, BRT) algorithm, which can solve best-of-n problems where the number of options n is greater than 2 (hereafter, best-of-n proble
30#
發(fā)表于 2025-3-26 19:37:59 | 只看該作者
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