Reticent
发表于 2025-3-21 20:04:22
书目名称Embedded System Technology影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0307943<br><br> <br><br>书目名称Embedded System Technology读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0307943<br><br> <br><br>
ARY
发表于 2025-3-21 23:33:35
Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/307943.jpg
inflame
发表于 2025-3-22 03:06:13
978-981-10-0420-9Springer Science+Business Media Singapore 2015
诱使
发表于 2025-3-22 05:16:11
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BOGUS
发表于 2025-3-22 12:40:25
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CRACK
发表于 2025-3-22 16:42:45
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CRACK
发表于 2025-3-22 17:38:22
Soft Computing for Metamaterial Structures,per. The EAKFA method selects adaptive Kalman filter algorithm as a fading factor. Furthermore, the fading factor is optimized by evolutionary algorithms. Finally, the effectiveness of EAKFA is validated by comparing EAKFA with a general adaptive Kalman filter algorithm. The results show that the er
无能力
发表于 2025-3-23 00:34:08
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fodlder
发表于 2025-3-23 03:02:38
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amplitude
发表于 2025-3-23 07:49:07
https://doi.org/10.1007/978-94-011-5978-4++ is a kind of effective single model recommendation algorithm, which is based on the matrix decomposition combined with the neighborhood model. On the Spark, using the Stochastic Gradient Descent, this paper realized the distributed SVD++ algorithm through the Scala, deployed and applied the algor