Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Haishen Yao"'
Autor:
Yongyi Bai, Haishen Yao, Xuehan Jiang, Suyan Bian, Jinghui Zhou, Xingzhi Sun, Gang Hu, Lan Sun, Guotong Xie, Kunlun He
Publikováno v:
Frontiers in Pharmacology, Vol 12 (2022)
Objective: Although guidelines have recommended standardized drug treatment for heart failure (HF), there are still many challenges in making the correct clinical decisions due to the complicated clinical situations of HF patients. Each patient would
Externí odkaz:
https://doaj.org/article/dd95563b8a854a0690065be89138558d
Publikováno v:
IEEE Access, Vol 7, Pp 21527-21538 (2019)
The mining of network sensitive information is of great significance for understanding the social stability of the network. Obtaining the network public opinion of sensitive information is helpful to master Internet users' attitudes toward important
Externí odkaz:
https://doaj.org/article/59c554671e2c4a11a60099c11a5b3039
Publikováno v:
IEEE Access, Vol 7, Pp 43749-43762 (2019)
The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words. In addition, due to the existence of some polysemic s
Externí odkaz:
https://doaj.org/article/41477828b18b424697374e3bbd03e51a
Publikováno v:
IEEE Access, Vol 7, Pp 58407-58418 (2019)
With the rapid development of the Internet, the amount of data has grown exponentially. On the one hand, the accumulation of big data provides the basic support for artificial intelligence. On the other hand, in the face of such huge data information
Externí odkaz:
https://doaj.org/article/5a81b287c9274174b1dd19a0ace8d530
Publikováno v:
IEEE Access, Vol 7, Pp 96177-96190 (2019)
With the rapid development of the Internet, more and more users expressed their views on the Internet. Therefore, the big data of texts are generated on the Internet. In the era of big data, mining the sentiment tendencies contained in massive texts
Externí odkaz:
https://doaj.org/article/b6f9793653284cac9c39822411706fdb
Autor:
Charles Knessl, Haishen Yao
Publikováno v:
Advances in Operations Research, Vol 2013 (2013)
We consider two parallel queues, each with independent Poisson arrival rates, that are tended by a single server. The exponential server devotes all of its capacity to the longer of the queues. If both queues are of equal length, the server devotes
Externí odkaz:
https://doaj.org/article/70ed83d6b59647d1a01fb857f5e17da3
Publikováno v:
Symmetry, Integrability and Geometry: Methods and Applications, Vol 2, p 096 (2006)
The KdV equation is used as an example to illustrate the relation between the restricted flows and the soliton equation with self-consistent sources. Inspired by the results on the Bäcklund transformation for the restricted flows (by V.B. Kuznetsov
Externí odkaz:
https://doaj.org/article/f2c294bceb7f4133a309b51611d89b0a
Autor:
Rui Tang, Zhaowei Zhu, Haishen Yao, Yanxuan Li, Xingzhi Sun, Gang Hu, Guotong Xie, Yichong Li
Publikováno v:
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI).
Publikováno v:
IEEE Access, Vol 7, Pp 96177-96190 (2019)
With the rapid development of the Internet, more and more users expressed their views on the Internet. Therefore, the big data of texts are generated on the Internet. In the era of big data, mining the sentiment tendencies contained in massive texts
Publikováno v:
IEEE Access, Vol 7, Pp 43749-43762 (2019)
The method of text sentiment analysis based on sentiment dictionary often has the problems that the sentiment dictionary doesn't contain enough sentiment words or omits some field sentiment words. In addition, due to the existence of some polysemic s