mortality
发表于 2025-3-21 20:04:29
书目名称Intelligent Systems and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0470039<br><br> <br><br>书目名称Intelligent Systems and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0470039<br><br> <br><br>
Pde5-Inhibitors
发表于 2025-3-21 21:42:01
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不满分子
发表于 2025-3-22 00:56:31
978-3-031-16071-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
CAMEO
发表于 2025-3-22 07:53:19
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CROW
发表于 2025-3-22 08:45:40
https://doi.org/10.1007/978-3-031-16072-1Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
评论性
发表于 2025-3-22 15:18:51
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SYN
发表于 2025-3-22 17:17:23
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COMA
发表于 2025-3-22 21:18:37
,Evaluation of Deep Learning Techniques in Human Activity Recognition,an accuracy rate of 93%, and therefore it is likely to be embedded in an IoT device. There is room for improvements, namely, the ability to recognize additional human activities, and to include more testing scenarios.
陶醉
发表于 2025-3-23 01:52:50
,Bregman Divergencies, Triangle Inequality, and Maximum Likelihood Estimates for Normal Mixtures,producing Kernel Hilbert Space is described. On a practical level recalling some basic facts on normal mixtures the well known connection between the parameter estimation problem for these mixtures and clustering algorithms is shown to hold in this abstract setting as well thus providing a more flexible approach to maximum likelihood estimates.
CBC471
发表于 2025-3-23 08:20:28
Self-supervised Learning for Predicting Invisible Enemy Information in StarCraft II, In this study, we propose a deep learning model combined with a contrastive self-supervised learning to predict invisible enemy information to improve the model performance. The effectiveness of the proposed method is demonstrated by quantitatively and qualitatively.