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Titlebook: Computational Intelligence for Semantic Knowledge Management; New Perspectives for Giovanni Acampora,Witold Pedrycz,Autilia Vitiello Book 2

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樓主: Daidzein
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發(fā)表于 2025-3-25 06:45:13 | 只看該作者
22#
發(fā)表于 2025-3-25 08:47:06 | 只看該作者
Decision Tree Based Single Person Gesture Recognition,al coordinates corresponding to twenty body joints. The present work requires eleven out of these twenty joints: six joints about the right and the left hands and five upper body joints. A unique set of twenty three features has been extracted to distinguish between gestures corresponding to five ba
23#
發(fā)表于 2025-3-25 11:58:02 | 只看該作者
Modified Type-2 Fuzzy Gesture Space Induced Physical Disorder Recognition,ical disorder exhibit wide deviations for different instances. In presence of two or more gestural features, the variation of the attributes together makes the problem of physical disorder recognition more convoluted. This fluctuation is the main source of uncertainty in the physical disorder recogn
24#
發(fā)表于 2025-3-25 16:21:17 | 只看該作者
https://doi.org/10.1007/978-3-030-23760-8Computational Intelligence; Evolutionary Computation; Fuzzy Systems; Neural Networks; Ontologies; Ontolog
25#
發(fā)表于 2025-3-25 20:57:24 | 只看該作者
Springer Nature Switzerland AG 2020
26#
發(fā)表于 2025-3-26 02:43:05 | 只看該作者
Computational Intelligence for Semantic Knowledge Management978-3-030-23760-8Series ISSN 1860-949X Series E-ISSN 1860-9503
27#
發(fā)表于 2025-3-26 05:03:58 | 只看該作者
28#
發(fā)表于 2025-3-26 11:29:22 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232461.jpg
29#
發(fā)表于 2025-3-26 14:41:40 | 只看該作者
Empirical Evidence on Long-Term Competition,ral domains such as e-commerce, e-learning, and social networks. These systems require the elicitation of user preferences, which are not always precise because there are external factors such as human errors, or the inherent vagueness associated to human beings; which are usually related to user be
30#
發(fā)表于 2025-3-26 20:11:22 | 只看該作者
Empirical Evidence on Long-Term Competition,nt of a new mashup application s/he has to cope with the abundance of services and information sources available on the Web, and with complex operations like filtering and joining. Thus, even a simple to use mashup editor is not capable of providing adequate support, unless it embeds intelligent met
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