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Titlebook: Computational Science and Its Applications - ICCSA 2005; International Confer Osvaldo Gervasi,Marina L. Gavrilova,Chih Jeng Kenn Conference

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樓主: Garfield
21#
發(fā)表于 2025-3-25 03:32:26 | 只看該作者
,Périmètres d’ensembles boréliens dans ?d,te the inverse. It is shown that the suggested inversion algorithm reduces the computation time 1 ~ 26% of the forgoing multi-bit shifting algorithm. The modified algorithm can be applied in various applications and is easy to implement.
22#
發(fā)表于 2025-3-25 10:42:09 | 只看該作者
A Truncated History of Geometry,ermined by the genetic algorithms. Then, the classifier decides using fuzzy c-means clustering algorithms for documents classification. A solution obtained by the genetic algorithm is a set of fuzzy clustering, and its fitness function is determined by fuzzy membership function.
23#
發(fā)表于 2025-3-25 14:21:00 | 只看該作者
A Truncated History of Geometry, the packet architecture and characteristics of each P2P application, and propose the algorithms that can block P2P applications. When being used for blocking up P2P applications, these proposed algorithms can play important roles in reducing excessive P2P traffic and illegal data sharing.
24#
發(fā)表于 2025-3-25 17:01:29 | 只看該作者
,Instabilité dans les Espaces Vectoriels,ed but imperative association rules based on clustered data, which in return could be practically explained for decision making purposes. Shorter processing time had been observed in computing for smaller clusters implying faster and ideal processing period than dealing with the entire dataset.
25#
發(fā)表于 2025-3-25 23:22:15 | 只看該作者
Fuzzy Clustering for Documents Based on Optimization of Classifier Using the Genetic Algorithmermined by the genetic algorithms. Then, the classifier decides using fuzzy c-means clustering algorithms for documents classification. A solution obtained by the genetic algorithm is a set of fuzzy clustering, and its fitness function is determined by fuzzy membership function.
26#
發(fā)表于 2025-3-26 02:39:08 | 只看該作者
27#
發(fā)表于 2025-3-26 08:05:00 | 只看該作者
28#
發(fā)表于 2025-3-26 09:29:42 | 只看該作者
29#
發(fā)表于 2025-3-26 13:41:25 | 只看該作者
https://doi.org/10.1007/BFb0090642rics is working with an inaccurate and imprecise understanding of the OO paradigm. Hence showing that the genesis of the metrics is controversial. Further many inconsistencies have been observed in CK and MOOD Metrics.
30#
發(fā)表于 2025-3-26 20:41:42 | 只看該作者
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