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Titlebook: Modern Developments in Powder Metallurgy; Volume 3 Development Henry H. Hausner (Adjunct Professor, Polytechnic I Book 1966 Metal Powder In

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樓主: Strategy
21#
發(fā)表于 2025-3-25 04:13:40 | 只看該作者
22#
發(fā)表于 2025-3-25 11:04:42 | 只看該作者
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發(fā)表于 2025-3-25 13:17:24 | 只看該作者
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發(fā)表于 2025-3-25 17:52:00 | 只看該作者
From Community Bank to Solidarity Fintech: The Case of Palmas e-Dinheiro in Brazilng both financial inclusion and local development in poor territories in the Northeast region of Brazil. The development of Palmas e-Dinheiro is strongly connected to the historical movement of community banks in the country. We start by presenting the context that has characterized the 20?years sin
25#
發(fā)表于 2025-3-25 20:05:50 | 只看該作者
Meta-heuristic Algorithms in IoT-Based Application: A Systematic Review,icial intelligence, machine learning, and deep knowledge. The Internet of Things (IoT)-based systems offer a logical and automated framework for sound decision-making and the automation of numerous chores to make life easier for people. Meta-heuristic algorithms use collective intelligence to tackle
26#
發(fā)表于 2025-3-26 03:37:51 | 只看該作者
,Uncertainty Estimation and?Propagation in?Accelerated MRI Reconstruction,er, deep learning techniques are also known to fail unexpectedly and hallucinate structures. This is particularly problematic if reconstructions are directly used for downstream tasks such as real-time treatment guidance or automated extraction of clinical parameters (e.g. via segmentation). Well-ca
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發(fā)表于 2025-3-26 04:44:54 | 只看該作者
28#
發(fā)表于 2025-3-26 09:13:13 | 只看該作者
29#
發(fā)表于 2025-3-26 13:44:28 | 只看該作者
Research on Logistics Distribution Routing Optimization Based on Ant Colony Algorithm,e is determined. Finally, taking the logistics of Nan gang District of Harbin as an example, the use of Matla B simulation results show that the scheme can optimize the logistics distribution route and improve the delivery efficiency.
30#
發(fā)表于 2025-3-26 18:17:18 | 只看該作者
EU-NATO Cooperation: The Case of Defense R&Dto the formation of homogenous groups of data. The proposed algorithm is evaluated on a number of images using different cluster validity measures. Results are compared with those obtained using .and . clustering algorithms and are found to be better.
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