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Titlebook: Investigating Chinese HE EFL Classrooms; Using Collaborative Lin Lin Book 2015 Springer-Verlag Berlin Heidelberg 2015 Attitude Measurement

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21#
發(fā)表于 2025-3-25 06:18:46 | 只看該作者
22#
發(fā)表于 2025-3-25 09:27:10 | 只看該作者
23#
發(fā)表于 2025-3-25 14:20:12 | 只看該作者
24#
發(fā)表于 2025-3-25 18:21:59 | 只看該作者
Lin LinA microarrays, it is possible to identify which genes are correlated to a particular disease, in order solve different tasks such as tumor detection, best treatment selection, etc. In the last years, several computational intelligence techniques have been proposed to identify different groups of gen
25#
發(fā)表于 2025-3-25 20:31:02 | 只看該作者
Lin LinA microarrays, it is possible to identify which genes are correlated to a particular disease, in order solve different tasks such as tumor detection, best treatment selection, etc. In the last years, several computational intelligence techniques have been proposed to identify different groups of gen
26#
發(fā)表于 2025-3-26 01:42:03 | 只看該作者
Lin Lintion and power requirements through intelligent energy and power management, such as utilizing excess heat, thermal energy storage and local renewable energy sources. Intelligent energy and power management in an operational setting is only possible if the time-varying performance of the individual
27#
發(fā)表于 2025-3-26 04:25:14 | 只看該作者
28#
發(fā)表于 2025-3-26 09:11:39 | 只看該作者
Lin LinIn this paper, we take a machine learning perspective to choose the best model for defects prediction of sheet metal forming processes. An empirical study is presented with the objective to choose the best machine learning algorithm that will be able to perform accurately this task. For building the
29#
發(fā)表于 2025-3-26 15:51:15 | 只看該作者
30#
發(fā)表于 2025-3-26 18:28:27 | 只看該作者
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