Spouse
发表于 2025-3-21 17:11:46
书目名称Advances in Knowledge Discovery and Data Mining影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0148653<br><br> <br><br>书目名称Advances in Knowledge Discovery and Data Mining读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0148653<br><br> <br><br>
Meager
发表于 2025-3-21 20:54:11
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heirloom
发表于 2025-3-22 01:02:20
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遗弃
发表于 2025-3-22 07:37:06
https://doi.org/10.1007/978-3-030-04972-0nities. Existing QA studies assume that questions are raised by humans and answers are generated by machines. Nevertheless, in many real applications, machines are also required to determine human needs or perceive human states. In such scenarios, machines may proactively raise questions and humans
果仁
发表于 2025-3-22 08:53:15
Coupling in UAV Cooperative Control, of the mainstream approaches to tackle this task. However, most of the existing studies focus on some specific kind of auxiliary data, which is usually platform- or domain- dependent. In existing works, the incorporation of auxiliary data has put limits on the applicability of the prediction model
排他
发表于 2025-3-22 14:53:00
https://doi.org/10.1007/978-3-319-74265-6 smart transportation systems. However, existing works are limited in fully utilizing multi-modal features. First, these models either include excessive data from weakly correlated regions or neglect the correlations with similar but spatially distant regions. Second, they incorporate the influence
集合
发表于 2025-3-22 18:55:02
https://doi.org/10.1007/978-3-319-74265-6with the equipment’s types. Proceeding from the fundamental features of load time series, we propose a method to identify electrical equipment from power load profiles accurately. Aiming to improve the classification accuracy and generalization performance of convolutional neural network (CNN), we c
阶层
发表于 2025-3-22 23:42:07
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枯萎将要
发表于 2025-3-23 03:33:35
https://doi.org/10.1007/978-3-319-74265-6er architecture, have achieved impressive progress in abstractive document summarization. However, the saliency of summary, which is one of the key factors for document summarization, still needs improvement. In this paper, we propose Topic Attentional Neural Network (TANN) which incorporates topic
surmount
发表于 2025-3-23 05:50:25
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