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Titlebook: Who You Think I Am?; Masks in Pop Music Sebastian Berlich Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusive licens

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樓主: 帳簿
21#
發(fā)表于 2025-3-25 05:03:20 | 只看該作者
22#
發(fā)表于 2025-3-25 10:23:26 | 只看該作者
Exercise Training in Congenital Heart Diseasesions of the heart and vessels survive into adult life. With improved life expectancy, growing attention is given to the question of whether and to what extent physical activity should be recommended in order to improve the quality of life. This chapter focus on the safety and impact of physical acti
23#
發(fā)表于 2025-3-25 12:43:47 | 只看該作者
24#
發(fā)表于 2025-3-25 18:59:22 | 只看該作者
A Heuristic Data Reduction Approach for Associative Classification Rule Hidinge other hand, the “quality” of the data must also be preserved. This creates an interesting question: how can we maintain the shared data that are guaranteed to have the quality, and the certain types of sensitive patterns be removed or “hidden”? In this paper, we address such the problem of sensiti
25#
發(fā)表于 2025-3-25 20:50:17 | 只看該作者
26#
發(fā)表于 2025-3-26 02:58:04 | 只看該作者
Datenerhebungs- und -analysemethoden,r in Kapitel 6.2 die methodischen Grundlagen der Datenanalyse diskutiert werden. In Kapitel 6.3 wird dann auf Basis der Methodik aus Kapitel 6.2 die konkrete Operationalisierung des Untersuchungsmodells pr?sentiert.
27#
發(fā)表于 2025-3-26 05:00:40 | 只看該作者
Parameter Advising for the , Alignerrameter choice, as well as advisors learned using various accuracy estimators. The results show that . yields the best advising accuracy of any estimator currently available, and that by using estimator-aware advisor sets we can significantly increase advising accuracy over using estimator-oblivious oracle sets.
28#
發(fā)表于 2025-3-26 10:26:25 | 只看該作者
29#
發(fā)表于 2025-3-26 13:58:48 | 只看該作者
Nucleotide Sequence Classification of Paeonia Lactiflora Based on Feature Representation Learningtes the whole sequence information can help us classify nucleotide sequences well. The final results of the experiment were 96.00% in Acc, 0.9387 in F1 score, 95.57% in Sn, 96.21% in Sp, and 0.9094 in MCC.
30#
發(fā)表于 2025-3-26 20:25:06 | 只看該作者
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