Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Qizhi Qiu"'
Autor:
Qunbi Zhuge, Xiaomin Liu, Yihao Zhang, meng cai, Yichen Liu, Qizhi Qiu, Xueying Zhong, Jiaping Wu, Ruoxuan Gao, Lilin Yi, Weisheng Hu
Publikováno v:
Journal of Optical Communications and Networking.
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030671327
As one trend of education reform, more attentions have been paid on operative experiments than mental ones, and virtual simulation experiment has achieved pleasant progresses in China since the Ministry of Education advocated in 2013, which applied n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acdf905eb49168e6e015a0d84aad1972
https://doi.org/10.1007/978-3-030-67133-4_33
https://doi.org/10.1007/978-3-030-67133-4_33
Autor:
Lilin Yi, Xiaomin Liu, Yihao Zhang, Qunbi Zhuge, Weisheng Hu, Yichen Liu, Minggang Chen, Qizhi Qiu
Publikováno v:
OSA Advanced Photonics Congress 2021.
A multi-dimensional EDFA gain spectrum optimization scheme based on the penalty method with gradient descent is proposed to increase the capacity of a WDM system. A gain of 5.47% on capacity is achieved in simulations.
Publikováno v:
OSA Advanced Photonics Congress 2021.
A reliable and accurate meta-learning-assisted training framework is proposed for deploying machine-learning-based applications to optical networks. The framework provides prediction confidence interval and makes better utilization of noisy data.
Encoding Sememe and Context Information into Sentence Representation for Implicit Sentiment Analysis
Publikováno v:
Advances in Computer Science for Engineering and Education IV ISBN: 9783030804718
Sentiment analysis is one of the highly popular fields in natural language processing. Most existing researches pay more attention to the identification of explicit sentiments than that of the implicit sentiments. In this paper, we develop our analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::768eba8d5d4efbbfd420f0419d4a2923
https://doi.org/10.1007/978-3-030-80472-5_35
https://doi.org/10.1007/978-3-030-80472-5_35
Publikováno v:
ECOC
A meta-learning-assisted training framework is proposed to improve the robustness and adaptation ability of the machine-learning-based applications deployed to practical optical networks. In simulations, applications trained by this framework can out
Publikováno v:
DSIT
Network public opinion has played a vital role during the government's decision-making process. There have been many existing topic extraction methods on processing network public opinion, while most of them have paid attention to its short text char
Publikováno v:
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE).
With the rapid development of the Internet, Internet public opinion has received more and more attention. Natural disasters are sudden and real-time. However, the current stage of Internet public opinion is often divided only by the size of the publi
Publikováno v:
Intelligent Virtual Agents ISBN: 9783319476643
IVA
IVA
AutoTutor uses conversational intelligent agents in learning environments. One of the major challenges in developing AutoTutor applications is to assess students’ natural language answers to AutoTutor questions. We investigated an AutoTutor dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a21136a982dd715eb74c279852a5a2c7
https://doi.org/10.1007/978-3-319-47665-0_50
https://doi.org/10.1007/978-3-319-47665-0_50
Publikováno v:
2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science.
As the mature GPS positioning technology cannot work well in indoor environment, there is no mature indoor navigation system for civil use. Besides indoor maps and indoor positioning technology, indoor routing algorithm is an important part of indoor