CURD
发表于 2025-3-21 17:04:39
书目名称Advanced Intelligent Computing Technology and Applications影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0167153<br><br> <br><br>书目名称Advanced Intelligent Computing Technology and Applications读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0167153<br><br> <br><br>
Prosaic
发表于 2025-3-21 21:47:50
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沙发
发表于 2025-3-22 03:45:59
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抱怨
发表于 2025-3-22 08:13:59
Anomaly Detection of Transmission Line Large Metal Based on EGFPN-YOLO and UAVsYOLO is proposed. The model combines the latest YOLOv8n algorithm, with particular improvements in the detection head, designing an efficient and lightweight detection head called EfficientHead. Additionally, inspired by the RepGFPN method, the Neck part of the model is improved by introducing the C
抛弃的货物
发表于 2025-3-22 11:29:35
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严重伤害
发表于 2025-3-22 14:30:26
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陈腐思想
发表于 2025-3-22 19:22:02
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恶意
发表于 2025-3-22 22:54:20
AYOLOv8: Improved Detector Based on YOLOv8 to Focus More on Small and Medium Objectseries and has attracted the attention of scholars due to its excellent detection performance. However, this model shows slightly inferior detection performance for small and medium-sized objects. To cope with this issue, in this paper, we propose three effective modules and embed them to YOLOv8 for
expansive
发表于 2025-3-23 04:37:32
SFERNet: Student Facial Expression Recognition Using Superpixel-Assisted Global Semantic Enhancementapturing non-local dependencies with semantic continuity and representing fine-grained local features. To tackle these issues, we propose SFERNet, a novel emotion computation network based on semantic-enhanced global dependency modeling and fine-grained feature compensation. Firstly, we introduce a
DEVIL
发表于 2025-3-23 06:01:10
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