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Titlebook: Hybrid Intelligent Systems; 18th International C Ana Maria Madureira,Ajith Abraham,Maria Leonilde V Conference proceedings 2020 Springer Na

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樓主: Hemochromatosis
31#
發(fā)表于 2025-3-26 22:10:58 | 只看該作者
32#
發(fā)表于 2025-3-27 04:44:15 | 只看該作者
Sujata Dash,Ajith Abraham,Atta-ur-Rahmanstis-carinii-Pneumonie entweder isoliert oder in Kombination mit einem Kaposi-Sarkom der Lunge gesehen. Die isolierte Lungenmanifestation eines Kaposi-Sarkoms ohne begleitende opportunistische Infektion wird in verschiedenen Arbeiten mit einer H?ufigkeit von 8–35% angegeben [28, 29, 44].
33#
發(fā)表于 2025-3-27 06:06:37 | 只看該作者
Doaa Hassand sie wird verteufelt und gefürchtet als Rückschritt in die Zeiten eines primitiven und emotionalisierten Denkens. Wer hat Recht – die Op- misten oder die Pessimisten? Das ist – natürlich – sch978-3-642-03877-8
34#
發(fā)表于 2025-3-27 10:58:40 | 只看該作者
35#
發(fā)表于 2025-3-27 15:21:56 | 只看該作者
Post-processing of Wind-Speed Forecasts Using the Extended Perfect Prog Method with Polynomial Neurased on the 2-stage approach of the Perfect Prog method used routinely in meteorology. The original procedure is extended with initial estimations of the optimal numbers of training days whose latest data observations are used to elicit daily prediction models in the 1. stage. Determination of the o
36#
發(fā)表于 2025-3-27 21:15:35 | 只看該作者
37#
發(fā)表于 2025-3-27 22:52:20 | 只看該作者
38#
發(fā)表于 2025-3-28 03:52:07 | 只看該作者
Modelling and Predicting Individual Salaries in United Kingdom with Graph Convolutional Network,etwork (GCN), a semi-supervised learning framework, to make use of a large amount of unlabelled data, in addition to the set of labelled ones, for enhanced salary classification. The preliminary experimental results show that GCN outperforms the existing ones that simply pool these two types of feat
39#
發(fā)表于 2025-3-28 09:21:50 | 只看該作者
Predicting the Degree of Collaboration of Researchers on Co-authorship Social Networks,ch researcher has with others on the co-authorship network. Next, the obtained values of collaboration degree are used with other features extracted from the co-authorship dataset to train a supervised-learning regression model in the training phase. Consequently, the learning regression model will
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發(fā)表于 2025-3-28 12:13:44 | 只看該作者
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