作业
发表于 2025-3-21 19:26:30
书目名称Dependable Software Engineering. Theories, Tools, and Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0265729<br><br> <br><br>书目名称Dependable Software Engineering. Theories, Tools, and Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0265729<br><br> <br><br>
严厉谴责
发表于 2025-3-21 20:16:50
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不出名
发表于 2025-3-22 02:35:24
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slipped-disk
发表于 2025-3-22 08:36:16
https://doi.org/10.1007/978-3-662-02798-1ing output curves in GPC, and then propose a new method to obtain tighter output arrival curves. Experiment results show that the precision of output arrival curves can be improved by our method compared with the original calculation and existing work.
弹药
发表于 2025-3-22 11:06:55
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填满
发表于 2025-3-22 13:11:32
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填满
发表于 2025-3-22 17:45:44
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敬礼
发表于 2025-3-22 23:01:29
Discrete multi-degrees-of-freedom rotorstree structures that are increasingly more consistent with the observational data. We have evaluated our method on a large number of case studies, both on synthetic data, and industrial data. Our experiments show that our algorithm outperforms other methods and provides near-optimal results.
分开
发表于 2025-3-23 02:38:28
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Carcinogenesis
发表于 2025-3-23 07:23:12
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