Titlebook: Knowledge Science, Engineering and Management; 17th International C Cungeng Cao,Huajun Chen,Yonghao Wang Conference proceedings 2024 The Ed

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書目名稱Knowledge Science, Engineering and Management影響因子(影響力)




書目名稱Knowledge Science, Engineering and Management影響因子(影響力)學(xué)科排名




書目名稱Knowledge Science, Engineering and Management網(wǎng)絡(luò)公開度




書目名稱Knowledge Science, Engineering and Management網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Knowledge Science, Engineering and Management被引頻次




書目名稱Knowledge Science, Engineering and Management被引頻次學(xué)科排名




書目名稱Knowledge Science, Engineering and Management年度引用




書目名稱Knowledge Science, Engineering and Management年度引用學(xué)科排名




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書目名稱Knowledge Science, Engineering and Management讀者反饋學(xué)科排名

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0302-9743 nce on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16–18, 2024...The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections:..Volume I:?Kn

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Meta-pruning: Learning to?Prune on?Few-Shot Learninghigher classification accuracy with similar computational complexity than state-of-the-art algorithms. We have also conducted learning rate comparison experiments to prove that the initial learning rate no longer affects our method.

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: Parsing and?Understanding Flowchart Using Generative AI, we formulate prompts using prompt engineering for the generative AI to integrate the segmented results and extracted text, thereby reconstructing the flowchart’s workflows. To validate the effectiveness of ., we evaluate its performance across multiple flowcharts and benchmark it against several baseline approaches. . is available at ..

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