Pierce 发表于 2025-3-21 18:38:18
书目名称Innovations for Community Services影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0467012<br><br> <br><br>书目名称Innovations for Community Services读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0467012<br><br> <br><br>Obstacle 发表于 2025-3-21 21:29:00
When Learning Analytics Meets MOOCs - a Review on iMooX Case Studiesositories of data they provide. The present paper contributes with a brief literature review in both prominent fields. Further, the authors overview their developed Learning Analytics application and show the potential of Learning Analytics in tracking students of MOOCs using empirical data from iMooX.braggadocio 发表于 2025-3-22 01:57:16
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Re-visited: On the Value of Purely Software-Based Code Attestation for Embedded Devices. running the prominent protocol derivate SoftWare-based ATTestation for Embedded Devices (SWATT). Besides the disclosure of pitfalls of such a protocol class we also point out good parameter choices which allow at least a meaningful plausibility check with a balanced false positive and false negative ratio.浅滩 发表于 2025-3-22 09:57:51
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http://reply.papertrans.cn/47/4671/467012/467012_9.png后天习得 发表于 2025-3-23 05:58:14
Topic Tracking in News Streams Using Latent Factor Modelse evaluate our system on a stream of news messages published on the micro-blogging service .. The evaluation shows that our system efficiently extracts topics and provides valuable insights into the continuously changing news stream helping users quickly identifying the most relevant information as well as current trends.