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Titlebook: Computergestützte Lernsysteme; Grundlagentheoretisc Alfred St?ber Textbook 1997 Springer Fachmedien Wiesbaden 1997 Computer.Entscheidungen.

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樓主: foresight
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發(fā)表于 2025-3-25 04:48:17 | 只看該作者
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發(fā)表于 2025-3-25 07:53:41 | 只看該作者
Textbook 1997ersit?ren Lehre konstruiert Alfred St?ber ein allgemeingültiges Modell, das auf mehreren Ebenen situationsgerechte Entscheidungen über den Einsatz, die Gestaltung und die Realisation von computergestützten Lernsystemen erm?glicht. Die theoretischen Ausführungen werden auf jeder Ebene durch das vom Autor entwickelte Lernsystem konkretisiert.
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發(fā)表于 2025-3-25 13:43:21 | 只看該作者
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發(fā)表于 2025-3-25 18:55:58 | 只看該作者
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發(fā)表于 2025-3-25 22:12:50 | 只看該作者
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發(fā)表于 2025-3-26 03:58:57 | 只看該作者
Construction of Chicken and Ostrich Antibody Librariesiagnostics and research. To add diversity to the scFv repertoire, we expanded the library to include genes from the ostrich, indigenous to southern Africa. The libraries described in this chapter are based on the chicken and ostrich variable heavy and light chain immunoglobulin genes joined by a sho
27#
發(fā)表于 2025-3-26 07:55:04 | 只看該作者
AnaVANET: An Experiment and Visualization Tool for Vehicular Networksn more evident in vehicular communications, due to the equipment and effort needed to obtain significant and realistic results. In this paper, key issues in vehicular experimental evaluation are analyzed by an evaluation tool called AnaVANET, especially designed for assessing the performance of vehi
28#
發(fā)表于 2025-3-26 09:48:19 | 只看該作者
29#
發(fā)表于 2025-3-26 14:48:58 | 只看該作者
Embedding Transcription and Transliteration Layers in the nts are retrieved and a double-hidden layer representation of a sample item is prepared and made available for textual searching in a PDF containing its scanned image. The experiment can be generalized to other libraries dealing with multiple concurrent textual interpretations of graphical items.
30#
發(fā)表于 2025-3-26 17:46:47 | 只看該作者
Vladimir Kompi?,Pavol Novák,Marián Handrikn models. These algorithms produce forecasts based on past weather information such as temperature, dew point, wind, cloud cover, and visibility. SVR algorithm outperformed the other algorithms, according to the Jupyter Notebook examination.
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