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Titlebook: Les instabilites hydrodynamique en convection libre, forcee et mixte; Jean-Claude Legros,Jean Karl Platten Book 1978 Springer-Verlag Berli

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樓主: Clinical-Trial
21#
發(fā)表于 2025-3-25 03:41:14 | 只看該作者
22#
發(fā)表于 2025-3-25 11:27:43 | 只看該作者
23#
發(fā)表于 2025-3-25 14:01:47 | 只看該作者
P. M. Bisch,A. Sanfeldeural Networks (CNNs) for its scanning ability in both order (left to right, right to left) and generating context. This paper interpreted a spam detection model based on self mechanism using BERT on kaggle dataset. Our proposed model outperforms than the machine learning algorithms and deep learnin
24#
發(fā)表于 2025-3-25 18:51:32 | 只看該作者
P. Joos,Y. Verburghmation from traditional out-of-home advertising to digital out-of-home (“DOOH”) advertising or any “digital media endorsing audio and video messages related to products or services outside of the home”, illustrates how the advertising industry is leveraging new technologies to continue the pursuit o
25#
發(fā)表于 2025-3-25 23:39:32 | 只看該作者
P. Atten,J. C. Lacroixully provide the optimal state-feedback controller for the tractor active suspension system. The tractor active suspension system controlled by the state-feedback controller designed by the LFICuS algorithm yields very satisfactory response with smaller oscillation and faster regulating time than th
26#
發(fā)表于 2025-3-26 01:14:02 | 只看該作者
P. Bergé,M. Duboisearch, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine..978-3-030-93246-6978-3-030-93247-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
27#
發(fā)表于 2025-3-26 06:41:37 | 只看該作者
J. C. Legros,J. K. Plattenully provide the optimal state-feedback controller for the tractor active suspension system. The tractor active suspension system controlled by the state-feedback controller designed by the LFICuS algorithm yields very satisfactory response with smaller oscillation and faster regulating time than th
28#
發(fā)表于 2025-3-26 10:56:23 | 只看該作者
Y. Pomeauainly focused on detecting the DoS attacks in the traffic coming to a node in Mobile ad Hoc Networks. This research work is also focused on identifying the attacked node in the adhoc network. The classification algorithm SVM (Support Vector Machine) is used along with optimization technique PSO (Par
29#
發(fā)表于 2025-3-26 15:11:23 | 只看該作者
30#
發(fā)表于 2025-3-26 19:02:31 | 只看該作者
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