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Titlebook: Cooperative Design, Visualization, and Engineering; 6th International Co Yuhua Luo Conference proceedings 2009 Springer-Verlag Berlin Heide

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發(fā)表于 2025-3-25 03:40:06 | 只看該作者
22#
發(fā)表于 2025-3-25 07:34:44 | 只看該作者
Paloma Díaz,Ignacio Aedo,Fivos Panetsose filtering (.) recommendation, but the contextual parameters in current approaches have same weights for all users. In this paper we propose an approach to learn the weights of contextual parameters for every user based on back-propagation (.) neural network (.). Then we present how to predict rati
23#
發(fā)表于 2025-3-25 12:55:52 | 只看該作者
Development Tools, Skills and Case Studiesacademy to industry. The paper relates the conceptsof the sketch-based collaboration, describes the Distant Collaborative Design Studio and proposes a methodology to assess the utility and usability of the system in two different companies. The results and conclusions show the issues linked to the i
24#
發(fā)表于 2025-3-25 16:08:08 | 只看該作者
25#
發(fā)表于 2025-3-25 20:54:35 | 只看該作者
Paloma Díaz,Ignacio Aedo,Fivos Panetsosity of product data as well as existing description methods of product data lack enough semantic. To effectively achieve sharing, exchange, reuse the ship product data, semantic web technology is employed to represent the ship product data. In this paper, the ontology and OWL are used to describe pr
26#
發(fā)表于 2025-3-26 03:03:37 | 只看該作者
27#
發(fā)表于 2025-3-26 07:17:03 | 只看該作者
https://doi.org/10.1007/3-540-44934-5In this work we present an analysis of simulation tools and modelling technologies for production systems. The use of these tools within a collaborative environment will be a mainstay for distributed manufacturing companies which require the integration of design, manufacturing resources and processes across the product lifecycle.
28#
發(fā)表于 2025-3-26 10:33:36 | 只看該作者
29#
發(fā)表于 2025-3-26 15:03:27 | 只看該作者
30#
發(fā)表于 2025-3-26 18:11:52 | 只看該作者
Scientific Literature Metadata Extraction Based on HMM,n, address, email, abstract, keywords, etc. However, the metadata is usually easy-to-read for human and difficult-to-recognize for computers. In this paper, we propose to improve Viterbi algorithm based on text blocks instead of words, increase the precision and recall based on unique characteristics of metadata items.
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