BRISK
发表于 2025-3-21 18:27:04
书目名称System Dynamics影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0884451<br><br> <br><br>书目名称System Dynamics读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0884451<br><br> <br><br>
linguistics
发表于 2025-3-21 22:52:59
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旧石器
发表于 2025-3-22 02:29:28
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Intercept
发表于 2025-3-22 05:27:32
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荣幸
发表于 2025-3-22 10:10:36
George P. Richardson the feed-forward back-propagation neural network for the extracted features like number of segments, gray level, gradient, gradient variation, gray-level coefficient is attempted in Neovascularization region to get an indicative accuracy of classification. The proposed method is tested on images fr
龙卷风
发表于 2025-3-22 12:56:21
Markus SchwaningerSurface roughness and porosity of the materials are utilized to estimate the quality of the material with a type-3 fuzzy approach. Material manufacturing requires strict quality control, and a type-3 fuzzy approach is able to outperform type-2 and type-1 in surface quality control.
Abrupt
发表于 2025-3-22 19:08:00
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高度
发表于 2025-3-22 23:48:34
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Regurgitation
发表于 2025-3-23 01:36:50
Etiënne A. J. A. Rouwette,Jac A. M. Vennixrticle, an anti-phishing framework uses five different classification techniques (logistic regression, .-nearest neighbor, decision tree classifier, random forest classifier, and support vector machine) to predict phishing sites. In order to investigate the demonstration of the framework, a new da
scrutiny
发表于 2025-3-23 06:35:35
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