Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Daniel Zeng"'
Publikováno v:
IEEE Access, Vol 7, Pp 19954-19964 (2019)
The actionable behavioral rules suggest specific actions that may influence certain behavior in the stakeholders' best interest. In mining such rules, it was assumed previously that all attributes are categorical while the numerical attributes have b
Externí odkaz:
https://doaj.org/article/2e4d26c4a3214455b5fa7a1ed41aa20b
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0202202 (2018)
Cryptocurrency is a well-developed blockchain technology application that is currently a heated topic throughout the world. The public availability of transaction histories offers an opportunity to analyze and compare different cryptocurrencies. In t
Externí odkaz:
https://doaj.org/article/d39099800fce41e09153da653a953042
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0150630 (2016)
Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human
Externí odkaz:
https://doaj.org/article/039735c05f724dc183c26e1479f10a79
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Knowledge is considered actionable if users can take direct actions based on such knowledge to their advantage. Among the most important and distinctive actionable knowledge are actionable behavioral rules that can directly and explicitly suggest spe
Externí odkaz:
https://doaj.org/article/b52c5e81d85b4daf96137f199eba0329
Publikováno v:
PLoS ONE, Vol 7, Iss 6, p e39749 (2012)
BackgroundCrowd-powered search is a new form of search and problem solving scheme that involves collaboration among a potentially large number of voluntary Web users. Human flesh search (HFS), a particular form of crowd-powered search originated in C
Externí odkaz:
https://doaj.org/article/34cd13f43f2440f7b396604b5e3e3296
Autor:
Yuejiao Wang, Dajun Daniel Zeng, Qingpeng Zhang, Pengfei Zhao, Xiaoli Wang, Quanyi Wang, Yin Luo, Zhidong Cao
Publikováno v:
Fundamental Research, Vol 2, Iss 2, Pp 311-320 (2022)
Introduction: Multivariate time series prediction of infectious diseases is significant to public health, and the deep learning method has attracted increasing attention in this research field. Material and methods: An adaptively temporal graph convo
Externí odkaz:
https://doaj.org/article/5dacc7ef1dd349d7991128feadd59a96
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-12
Publikováno v:
Neurocomputing. 510:59-68
Publikováno v:
IEEE Intelligent Systems. 37:45-53
Autor:
Zhidong Cao, Yuejiao Wang, Qingpeng Zhang, Yin Luo, Pengfei Zhao, Quanyi Wang, Dajun Daniel Zeng, Xiaoli Wang
Publikováno v:
Fundamental Research
Introduction Multivariate time series prediction of infectious diseases is significant to public health, and the deep learning method has attracted increasing attention in this research field. Material and methods An adaptively temporal graph convolu