CLOG
发表于 2025-3-21 20:05:16
书目名称Artificial Intelligence and Machine Learning影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0162232<br><br> <br><br>书目名称Artificial Intelligence and Machine Learning读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0162232<br><br> <br><br>
卜闻
发表于 2025-3-21 22:49:53
Artificial Intelligence and Machine Learning978-981-97-1277-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
overhaul
发表于 2025-3-22 04:22:45
http://reply.papertrans.cn/17/1623/162232/162232_3.png
地牢
发表于 2025-3-22 06:53:41
978-981-97-1276-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
倾听
发表于 2025-3-22 11:01:16
https://doi.org/10.1007/978-1-349-18048-6phenomena during the printing process. Effective detection of machine printed page numbers is of great practical significance for improving the efficiency of archive organization work; A machine printed page anomaly detection method based on multi-scale self attention encoding decoding is proposed t
neologism
发表于 2025-3-22 15:18:42
http://reply.papertrans.cn/17/1623/162232/162232_6.png
Ordnance
发表于 2025-3-22 20:21:33
http://reply.papertrans.cn/17/1623/162232/162232_7.png
florid
发表于 2025-3-22 23:26:46
http://reply.papertrans.cn/17/1623/162232/162232_8.png
ostracize
发表于 2025-3-23 02:14:39
Self System: First Order Knowledge Domain train a global model through coordination by a central server while ensuring the privacy of data on individual edge devices. However, the data on edge devices that participate in FL training are not independently and identically distributed (IID), resulting in challenges related to heterogeneity da
employor
发表于 2025-3-23 05:59:06
Self System: First Order Knowledge Domainction tasks. This paper systematically reviews relation extraction techniques based on deep learning, including the application of convolutional neural networks, recurrent neural networks and Transformer models. Firstly, it introduces the representative applications of these three models. Then, rela