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Titlebook: Hybrid Adhesive Joints; Lucas F. M. Silva,Alessandro Pirondi,Andreas ?chsn Book 2011 Springer-Verlag Berlin Heidelberg 2011 bolt - adhesiv

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11#
發(fā)表于 2025-3-23 09:54:24 | 只看該作者
12#
發(fā)表于 2025-3-23 14:18:22 | 只看該作者
Saied M. H. Darwishntangible cultural heritage is relatively weak. Some traditional crafts and techniques are gradually lost due to lack of inheritance. Therefore, we urgently need to use modern technical means to bring valuable intangible cultural resources back to the public eye. The purpose of this paper is to accu
13#
發(fā)表于 2025-3-23 18:26:03 | 只看該作者
14#
發(fā)表于 2025-3-23 23:03:50 | 只看該作者
Fabrizio Moroni,Alessandro Pirondintangible cultural heritage is relatively weak. Some traditional crafts and techniques are gradually lost due to lack of inheritance. Therefore, we urgently need to use modern technical means to bring valuable intangible cultural resources back to the public eye. The purpose of this paper is to accu
15#
發(fā)表于 2025-3-24 05:36:58 | 只看該作者
Alessandro Pirondi,Fabrizio Moronimendation systems, user behavior analytics). In practice, they are playing a crucial role in harnessing the power of massive amounts of data which we are currently producing every day in our digital world. In general, the process of building a high-quality machine learning model is an iterative, com
16#
發(fā)表于 2025-3-24 08:51:01 | 只看該作者
17#
發(fā)表于 2025-3-24 12:06:20 | 只看該作者
Jan R. Weitzenb?ck,Dag McGeorgeomputational biology and social networks are now overwhelmed with large-scale databases that need computationally demanding manipulation. Several techniques have been proposed for dealing with big data processing challenges including computational efficient implementations, like parallel and distrib
18#
發(fā)表于 2025-3-24 15:30:18 | 只看該作者
19#
發(fā)表于 2025-3-24 22:22:11 | 只看該作者
20#
發(fā)表于 2025-3-25 01:49:19 | 只看該作者
James G Broughton,Michael D Fittont is not related to the data itself, but with the algorithms that are capable of processing such data in a tolerable elapsed time, and to extract valuable knowledge from it. The term “Big Data” has spread rapidly in the framework of data mining and business intelligence. This new scenario can be def
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