Cleveland 发表于 2025-3-21 16:27:14
书目名称影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0544200<br><br> <br><br>书目名称影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0544200<br><br> <br><br>书目名称网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0544200<br><br> <br><br>书目名称网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0544200<br><br> <br><br>书目名称被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0544200<br><br> <br><br>书目名称被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0544200<br><br> <br><br>书目名称年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0544200<br><br> <br><br>书目名称年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0544200<br><br> <br><br>书目名称读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0544200<br><br> <br><br>书目名称读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0544200<br><br> <br><br>情感 发表于 2025-3-21 23:59:37
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Limitational Production Functions on the other hand, it is assumed that there are linear relations between the input quantities of the resources and the output quantities. Therefore, it is frequently said that Leontief Production Functions are linear-limitational production functions.infarct 发表于 2025-3-22 14:18:26
J. B. Sokoloff and non-malleability properties: ciphertexts can be re-randomized (and thus made unlinkable) while still retaining the important security guarantee that the message inside stays intact..In this paper we show a new public-key encryption scheme that is Rand-RCCA secure in the random oracle model. Ouraqueduct 发表于 2025-3-22 18:55:11
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The Sustainable Portion of Gross Domestic Product: A Proposed Social Ecological Economic Indicator fomic indicator to evaluate the economic footprint of human activities and products as being environmentally and culturally sustainable. It proposes a method for calculating GDPs based on four quantitative factors: the domestic product or economic activity, its ecological footprint, its overshoot por不持续就爆 发表于 2025-3-23 03:35:15
A Multi Class Classification for Detection of IoT Botnet Malwareication where random forest outperformed with an accuracy of 99.88. We have also generated new samples using conditional generative adversarial networks (CTGAN) for testing the efficacy and robustness of our models built.灾难 发表于 2025-3-23 06:55:12
Proceedings of the International Conference on Paradigms of Communication, Computing and Data SciencesPCCDS 2021