Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Zhanjun Si,Wei Chen Conference proceedings

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書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)




書目名稱Advanced Intelligent Computing Technology and Applications影響因子(影響力)學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度




書目名稱Advanced Intelligent Computing Technology and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次




書目名稱Advanced Intelligent Computing Technology and Applications被引頻次學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications年度引用




書目名稱Advanced Intelligent Computing Technology and Applications年度引用學(xué)科排名




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋




書目名稱Advanced Intelligent Computing Technology and Applications讀者反饋學(xué)科排名

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167163.jpg

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978-981-97-5677-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Versicherungsformen der Praxis,ing external knowledge from knowledge bases (KBs), such as extracting entity concepts and evidence within articles, significantly enhances rumor detection performance. However, two limitations still exist: 1)When extracting entity concepts from KBs, entity ambiguity may introduce inappropriate conce

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,Regelungstechnische Verh?ltnisse,ed, traditional detection methods hinder effective disease management. We introduce USST, a novel cassava leaf disease detection approach to address this challenge. USST employs a synergistic combination of two attention mechanisms for enhanced feature learning: optimized self-guided attention (SGA)