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Titlebook: Handelsrecht; Hartmut Oetker Textbook 20054th edition Springer-Verlag Berlin Heidelberg 2005 Firmenrecht.Handelsrecht.Handelsregister.Kauf

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21#
發(fā)表于 2025-3-25 07:16:51 | 只看該作者
Springer-Lehrbuchhttp://image.papertrans.cn/h/image/423886.jpg
22#
發(fā)表于 2025-3-25 11:24:43 | 只看該作者
https://doi.org/10.1007/b137990Firmenrecht; Handelsrecht; Handelsregister; Kaufmannsbegriff; Kommissiongesch?ft; Kommissionsgesch?ft; Kon
23#
發(fā)表于 2025-3-25 11:47:21 | 只看該作者
24#
發(fā)表于 2025-3-25 18:32:40 | 只看該作者
he social media monitoring capability and can assist policymakers and governments to focus on key issues. This chapter will review various types of machine learning techniques including the currently popular deep learning methods that can be used in the analysis of social media data for identifying abusive content.
25#
發(fā)表于 2025-3-25 23:33:13 | 只看該作者
ersonalize their hyperparameters in order to provide personalized diagnosis, followed by personalized treatment. The goal of this chapter is to present several novel adaptive neural networks that embed genomic knowledge into their architecture, increasing their diagnosis performance and computational speed, while decreasing computational cost.
26#
發(fā)表于 2025-3-26 00:53:35 | 只看該作者
27#
發(fā)表于 2025-3-26 04:59:58 | 只看該作者
28#
發(fā)表于 2025-3-26 09:28:48 | 只看該作者
29#
發(fā)表于 2025-3-26 16:27:42 | 只看該作者
30#
發(fā)表于 2025-3-26 17:58:17 | 只看該作者
arative analysis of the considered methods is provided, which is done on important aspects such as algorithm implementation, relationship between methods, and performance. The aim of this paper is to investigate recent alternatives to SNE as well as to provide substantial results and discussion to compare them.
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