MEDAL 发表于 2025-3-21 19:31:24

书目名称Artificial Neural Networks and Machine Learning – ICANN 2023影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0162668<br><br>        <br><br>书目名称Artificial Neural Networks and Machine Learning – ICANN 2023读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0162668<br><br>        <br><br>

反应 发表于 2025-3-21 21:33:32

Zusammengesetzte Beanspruchungen,o improve the scalability of the proposal, we propose a distillation-based method to obtain a lightweight model for the rough retrieval stage. The experimental results on the benchmark dataset . show that our approach outperforms the existing works.

Intellectual 发表于 2025-3-22 01:51:03

Zusammengesetzte Beanspruchungen, that the encryption method achieves satisfactory results. In fact, the performance of some models trained with encrypted data even surpasses that of the unencrypted method, highlighting the effectiveness of the introduced encryption method and partially resolving the problem of data leakage.

几何学家 发表于 2025-3-22 07:13:46

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atrophy 发表于 2025-3-22 10:59:31

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灿烂 发表于 2025-3-22 14:59:25

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睨视 发表于 2025-3-22 17:23:08

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出来 发表于 2025-3-22 21:48:23

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diathermy 发表于 2025-3-23 03:55:28

,F-E Fusion: A Fast Detection Method of Moving UAV Based on Frame and Event Flow,the location of moving objects through event flow. Experimental results show that our method has more than 40 times faster recognition speed on the same platform than YOLO v3. The data and the code of the proposed method will be publicly available at

600 发表于 2025-3-23 06:47:10

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查看完整版本: Titlebook: Artificial Neural Networks and Machine Learning – ICANN 2023; 32nd International C Lazaros Iliadis,Antonios Papaleonidas,Chrisina Jay Confe