graphic 发表于 2025-3-21 18:45:16
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167163.jpgVEIL 发表于 2025-3-22 07:28:25
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978-981-97-5677-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature SingaporCarcinogen 发表于 2025-3-22 13:04:57
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 conceIniquitous 发表于 2025-3-22 20:32:23
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,Regelungstechnische Verhältnisse,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)