Ingrown-Toenail 发表于 2025-3-21 20:07:28
书目名称Intelligent Systems and Applications影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0476212<br><br> <br><br>书目名称Intelligent Systems and Applications读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0476212<br><br> <br><br>Dysarthria 发表于 2025-3-21 21:16:18
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,Improving Convolutional End-to-End Memory Networks with BERT for Question Answering,ing overfitting issue. Our experiment shows that the proposed model exhibits remarkable performance, outperforming top results achieved by other memory networks models on the Facebook ‘bAbI 1k’ dataset with an accuracy of 92.86.DIS 发表于 2025-3-22 16:32:17
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,Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Gemanually labelled data from the 2021 flood in Germany and the 2023 Chile forest fires were considered. The results show that generic fine-tuning combined with 10 rounds of AL outperformed all other approaches. Consequently, a broadly applicable model for the identification of disaster-related TweetsMagnitude 发表于 2025-3-22 22:06:20
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,Integrating Deep Reinforcement Learning into Agent-Based Models for Predicting Farmer Adaptation Unrshed of trans-boundary Lake Champlain Basin. The DRL-ABM specifically focuses on predicting the adoption of adaptation actions by simulated farmers that reduce the adverse impact of agricultural production on water quality in the face of global climate change induced shifting frequencies and intensOintment 发表于 2025-3-23 08:24:07
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