Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Senzhang WANG"'
Autor:
Yuhao ZHENG, Senzhang WANG
Publikováno v:
智能科学与技术学报, Vol 5, Pp 389-396 (2023)
To obtain detailed traffic flow data for each road segment of the city, it is necessary to deploy a large number of sensing devices and dense observation stations, which increases the costs of daily operations and equipment maintenance.At the same ti
Externí odkaz:
https://doaj.org/article/d4004015ed8e4979b56c34be486a9bd7
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 9, p 1728 (2023)
Higher-accuracy long-term ocean temperature prediction plays a critical role in ocean-related research fields and climate forecasting (e.g., oceanic internal waves and mesoscale eddies). The essential component of traditional physics-based numerical
Externí odkaz:
https://doaj.org/article/d5a5812d88ea40ceb9df581f2ce24a61
Publikováno v:
Frontiers in Marine Science, Vol 9 (2023)
IntroductionSevere typhoons, as extreme weather events, can cause a large number of casualties and property damage in coastal areas. There are mainly three kinds of methods for the prediction of severe typhoon formation, which are the numerical-based
Externí odkaz:
https://doaj.org/article/5749d332eaca48698e202d533fa2ecf0
Publikováno v:
Algorithms, Vol 15, Iss 3, p 80 (2022)
Accurately predicting user–item interactions is critically important in many real applications, including recommender systems and user behavior analysis in social networks. One major drawback of existing studies is that they generally directly anal
Externí odkaz:
https://doaj.org/article/df9c6c607a1e4b05b3c98f3849a586e0
Publikováno v:
Sensors, Vol 20, Iss 18, p 5143 (2020)
GPS datasets in the big data regime provide rich contextual information that enable efficient implementation of advanced features such as navigation, tracking, and security in urban computing systems. Understanding the hidden patterns in large amount
Externí odkaz:
https://doaj.org/article/e644fa68e97741c5844a394a243e4d25
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0116551 (2015)
Complex networks are everywhere, such as the power grid network, the airline network, the protein-protein interaction network, and the road network. The networks are 'robust yet fragile', which means that the networks are robust against random failur
Externí odkaz:
https://doaj.org/article/bd7b5e83908344f7aadb9df575264190
Autor:
Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:4077-4091
Autor:
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
Publikováno v:
Knowledge and Information Systems. 65:2281-2304
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:3681-3700
With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temporal data