中间时期 发表于 2025-3-21 19:31:20

书目名称Emerging Intelligent Computing Technology and Applications影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0308276<br><br>        <br><br>书目名称Emerging Intelligent Computing Technology and Applications读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0308276<br><br>        <br><br>

NAG 发表于 2025-3-21 22:48:09

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Arboreal 发表于 2025-3-22 01:52:34

https://doi.org/10.1007/978-3-322-80407-5nential stability of these networks. The derived result improves and extends some related results in the literature. Finally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.

epidermis 发表于 2025-3-22 05:39:11

Karl Steinbuch,Werner Rupprechtclassification error of the model. We show the performance of the multi-objectivization approach on five data sets and compare it to a surrogate based single-objective algorithm for the same problem. Moreover, we compare the multi-objectivization approach to two surrogate based approaches – a single-objective one and a multi-objective one.

易弯曲 发表于 2025-3-22 12:48:44

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Psa617 发表于 2025-3-22 14:17:20

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Psa617 发表于 2025-3-22 19:46:43

Karl Steinbuch,Werner Rupprechtng and testing of two well known classifiers- Extreme Learning Machine (ELM) and Support Vector Machine (SVM). The performance evaluation of ELM and SVM classifiers shows that the proposed feature selection method works well with these classifiers.

Irremediable 发表于 2025-3-22 21:29:16

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BALE 发表于 2025-3-23 04:38:13

,Digitale Übertragung im Basisband,an three previously published differential coexpression analysis (DCEA) methods. We applied the new approach to a public available type 2 diabetes (T2D) expression dataset, and many additional discoveries can be found through our method.

他很灵活 发表于 2025-3-23 07:17:21

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查看完整版本: Titlebook: Emerging Intelligent Computing Technology and Applications; 9th International Co De-Shuang Huang,Phalguni Gupta,Michael Gromiha Conference