Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Guangxu Mei"'
Publikováno v:
Sensors, Vol 20, Iss 22, p 6433 (2020)
There has been a lot of research on flight delays. But it is more useful and difficult to estimate the departure delay time especially three hours before the scheduled time of departure, from which passengers can reasonably plan their travel time and
Externí odkaz:
https://doaj.org/article/fb2c958a36984d939255acad68c79450
Publikováno v:
Information Sciences. 622:1050-1063
Publikováno v:
Neurocomputing. 468:276-285
Heterogeneous information networks embedding, which is a promising technique to learn low-dimensional representations for nodes with different types, has obtained very high interests recently. Plenty of graph neural networks models have been proposed
Publikováno v:
World Wide Web.
Publikováno v:
Sensors
Volume 20
Issue 22
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6433, p 6433 (2020)
Volume 20
Issue 22
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6433, p 6433 (2020)
There has been a lot of research on flight delays. But it is more useful and difficult to estimate the departure delay time especially three hours before the scheduled time of departure, from which passengers can reasonably plan their travel time and
Publikováno v:
ICWS
An air traffic network is a special and complex Spatio-temporal network. What makes it unique is that multi-data sources-including airports, airlines and air routes-spatial dependence and strong temporal dependence in a dynamic environment. In this p
Publikováno v:
IEEE BigData
Networks are general tools for modeling numerous information with features and complex relations. Network Embedding aims to learn low-dimension representations for vertexes in the network with rich information including content information and struct