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Titlebook: Interpolations-basierte Sinogrammrestauration zur Metallartefaktreduktion in der Computertomographie; May Oehler Book 2014 Springer Fachme

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樓主: GOLF
31#
發(fā)表于 2025-3-26 21:08:19 | 只看該作者
tution zu schützen und zu f?rdern, die für die Gesellschaft unentbehrliche Funktionen erfüllt. Unter dem Begriff der Familie werden sehr unterschiedliche Sachverhalte verstanden. Daher mu? definiert werden, was für die Familienpolitik Gegenstand der politischen Beeinflussung sein soll. In einer sehr
32#
發(fā)表于 2025-3-27 01:19:46 | 只看該作者
33#
發(fā)表于 2025-3-27 08:59:36 | 只看該作者
AdaDiff: Accelerating Diffusion Models Through Step-Wise Adaptive Computation,rios, is hampered by their inherently slow generation speed. The slow generation stems from the necessity of multi-step network inference. While some certain predictions benefit from the full computation of the model in each sampling iteration, not every iteration requires the same amount of computa
34#
發(fā)表于 2025-3-27 11:53:01 | 只看該作者
35#
發(fā)表于 2025-3-27 15:05:31 | 只看該作者
Autosomal Dominant Limb-Girdle Muscular Dystrophies,mal weakness. LGMD-D1 is caused by variants in . and may represent an under-recognized disorder with significant clinical variability, including early onset and distal-predominant weakness. LGMD-D2 is much rarer and is caused by variants in .. Both LGMD-D1 and LGMD-D2 can show features of myofibrill
36#
發(fā)表于 2025-3-27 21:32:23 | 只看該作者
37#
發(fā)表于 2025-3-27 22:27:05 | 只看該作者
38#
發(fā)表于 2025-3-28 06:02:06 | 只看該作者
39#
發(fā)表于 2025-3-28 09:33:06 | 只看該作者
Using Data Augmentation for Improving Text Summarization of summarization models. Using sentence clustering and pre-trained models on tasks such as summarization or paraphrasing, we explore whether such an approach can yield better results across various summarization datasets that target different formats, such as video conference transcripts and news articles.
40#
發(fā)表于 2025-3-28 12:41:00 | 只看該作者
https://doi.org/10.1007/978-3-8349-4513-6 by comparing the simulated and real evaluation results. We show that both approaches achieve similar performances, with an F-measure of 85% for the virtual prototype and 89% for the real-world implementation.
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