Gram114
发表于 2025-3-21 19:21:58
书目名称Data Science影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0284449<br><br> <br><br>书目名称Data Science读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0284449<br><br> <br><br>
表示向前
发表于 2025-3-21 22:29:28
A Lightweight Edge Network Intrusion Detection System Based on MobileVitthms, and the large resource overhead required to deploy deep learning algorithms to edge networks, we proposes a lightweight intrusion detection system based on MobileViT, which can detect cyber-attack traffic in edge networks with little resource consumption. The system uses smote to balance the d
哪有黄油
发表于 2025-3-22 02:40:24
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libertine
发表于 2025-3-22 05:13:27
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没有希望
发表于 2025-3-22 09:18:09
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Prologue
发表于 2025-3-22 15:39:01
Enhancing Relevance and Efficiency in Visual Question Generation Through Redundant Object Filtering provides answers. The quality of question generation is vital for the task, but existing methods do not consider the redundant objects brought by Faster RCNN for object detection, leading to meaningless, repetitive questions. To address this, we propose Question Improvement and Redundancy Eliminati
Prologue
发表于 2025-3-22 17:28:19
Chinese Named Entity Recognition Algorithm Integrating Vocabulary Informationicient learning of Chinese character vocabulary information during the training process. This article proposes an entity recognition model LEBERT-IDGRU-CRF based on BERT and introducing external dictionaries for training. The model performs lexical matching on the data text through an external dicti
aggrieve
发表于 2025-3-22 23:51:30
WSDSum: Unsupervised Extractive Summarization Based on Word Weight Fusion and Document Dynamic Compaverall content. Numerous prevalent research methods predominantly prioritize the significance of sentences within a document, potentially overlooking the importance of varying keywords within a sentence. Moreover, many methods confine the summarization to information present only in the current docu
针叶树
发表于 2025-3-23 05:09:49
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Expertise
发表于 2025-3-23 06:18:39
Multi-modal Variable-Channel Spatial-Temporal Semantic Action Recognition Networktion. However, existing models often lack the spatial-temporal discriminative ability required for fine-grained recognition tasks. To address this issue, we introduce a flexible attention block called Variable-Channel Spatial-Temporal attention (VCSTA) to enhance the discriminative capacity of spati