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Titlebook: Value Driven Healthcare and Geriatric Medicine; Implications for Tod James S.‘Powers Book 2018 Springer International Publishing AG, part o

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樓主: energy
11#
發(fā)表于 2025-3-23 11:50:43 | 只看該作者
oughout its entire lifecycle, beginning with its initial sale by the manufacturer/dealer to its ultimate disposal as scrap. All par ties in the Registration Chain, including the vehicle supplier, owner, various government agencies, and the general public, can have confidence, trust, and authenticati
12#
發(fā)表于 2025-3-23 15:42:11 | 只看該作者
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發(fā)表于 2025-3-23 20:10:40 | 只看該作者
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發(fā)表于 2025-3-24 00:04:15 | 只看該作者
mparing the positions of embedding vectors and quantifying the impact of attributes on the representation update. Our GERF method updates embedding vectors by optimizing the invariance loss, graph neighbor loss, and attribute the neighbor loss to obtain high-quality embeddings. Experiments on WikiCS
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發(fā)表于 2025-3-24 02:37:44 | 只看該作者
James S. Powers MD Then, the linear Viscous Dampers (VDs) are used for retrofitting of the damaged structures, and IDAs were performed under aftershock records. The results showed that the proposed method and computational program could improve the seismic performance level of damaged structures subjected to the main
16#
發(fā)表于 2025-3-24 08:29:23 | 只看該作者
James S. Powers MDuce an ABM’s parameter value exploration space. In our prior work we showed that covering arrays are useful for systematically decreasing an ABM’s parameter space. We now build on that work by applying it to Wilensky’s Heat Bugs model and training a random forest machine learning model to predict si
17#
發(fā)表于 2025-3-24 14:33:05 | 只看該作者
James S. Powers MD the diagnosis as the class to be predicted. The models with the highest accuracy were Logistic Regression (84%), Naive-Bayes (82.5%), and Support Vector Machine (79%). Only LR obtained quality values greater than 0.8 in all metrics. SLE had the highest precision and recall for all classifiers, whil
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發(fā)表于 2025-3-24 15:40:52 | 只看該作者
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發(fā)表于 2025-3-24 22:22:37 | 只看該作者
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發(fā)表于 2025-3-24 23:28:00 | 只看該作者
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