誓约 发表于 2025-3-21 19:47:46
书目名称Computer Engineering and Technology影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0233538<br><br> <br><br>书目名称Computer Engineering and Technology读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0233538<br><br> <br><br>Cupidity 发表于 2025-3-21 20:49:51
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Tax Havens and Intermediate Companiespaper. The anti-harsh environment reinforcement chassis is taken environmental tests to make sure that it has good reliability and integrated protection capabilities, which provides a reference for similar engineering design.朦胧 发表于 2025-3-22 07:04:58
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Tax Havens and Intermediate Companiesed classification model can achieve AUC = 0.9973 in best case and the influence by the data size or kernel size is very little. Moreover, by comparison with other CNNs trained with software-based features, it is indicated that the proposed model has higher accuracy than the other ones.预定 发表于 2025-3-22 21:48:43
ACCDSE: A Design Space Exploration Framework for Convolutional Neural Network Accelerator, data precision for inference of LeNet. By theoritical analysis, the ACCDSE framework can obtain optimal matrix tiling parameters. Without decreasing the classification accuracy, the power consumption can be reduced by 33.57% and the storage can be reduced by 41.47% after weight pruning.Calculus 发表于 2025-3-23 02:32:58
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Malware Detection with Convolutional Neural Network Using Hardware Events,ed classification model can achieve AUC = 0.9973 in best case and the influence by the data size or kernel size is very little. Moreover, by comparison with other CNNs trained with software-based features, it is indicated that the proposed model has higher accuracy than the other ones.