缩写 发表于 2025-3-21 17:21:56
书目名称Artificial Intelligence and Mobile Services – AIMS 2022影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0162252<br><br> <br><br>书目名称Artificial Intelligence and Mobile Services – AIMS 2022读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0162252<br><br> <br><br>有机体 发表于 2025-3-21 21:04:06
http://reply.papertrans.cn/17/1623/162252/162252_2.png他日关税重重 发表于 2025-3-22 01:18:47
Conference proceedings 2022but not limited to, wireless & sensor networks, mobile & wearable computing, mobile enterprise & eCommerce, ubiquitous collaborative & social services, machine-to-machine & Internet-of-things clouds, cyber-physical integration, and big data analytics for mobility-enabled services..切碎 发表于 2025-3-22 06:43:12
http://reply.papertrans.cn/17/1623/162252/162252_4.pngNOCT 发表于 2025-3-22 12:43:51
Frequently Asked Question Pair Generation for Rule and Regulation Documentmework for FAQ pair generation by deep learning. For experiments, we collect and annotate a Chinese FAQ pair generation dataset from documents of China Merchants Securities Co., Ltd. The results show that our method can generate proper FAQ pairs and achieve competitive performance in both automatic and human evaluation.俗艳 发表于 2025-3-22 16:45:25
Push-Based Forwarding Scheme Using Fuzzy Logic to Mitigate the Broadcasting Storm Effect in VNDN simply disseminating the content over the network. VNDN supports only a pull-based data forwarding model. In the pull-based mode, the content is forwarded upon request. However, in critical situations, a push-based data forwarding model is essential to design in order to broadcast the critical data人充满活力 发表于 2025-3-22 20:09:51
http://reply.papertrans.cn/17/1623/162252/162252_7.png小步舞 发表于 2025-3-22 22:06:51
http://reply.papertrans.cn/17/1623/162252/162252_8.pngaesthetic 发表于 2025-3-23 05:12:57
Frequently Asked Question Pair Generation for Rule and Regulation Documentstomers and employers to quickly gain knowledge of them and provides a potential corpus for question-answering robots. While previous work focuses on web texts (e.g., Wiki), we generate FAQ pairs from the formal and verbose rule and regulation documents, which is significant in real scenarios. To ta死猫他烧焦 发表于 2025-3-23 07:34:32
Chinese Text Classification Using BERT and Flat-Lattice Transformerormation have achieved state-of-the-art performance in most downstream natural language processing (NLP) tasks, including named entity recognition (NER), English text classification and sentiment analysis. For Chinese text classification, the existing methods have also tried such kinds of models. Ho