Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jiexia Ye"'
Publikováno v:
IEEE Transactions on Big Data. 9:991-1003
Publikováno v:
Neural Computing and Applications. 35:3325-3341
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:18337-18351
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:13316-13329
Understanding and predicting each individual's real-time travel destination given the origin information in urban public transportation systems is crucial for personalized traveler recommendation, targeted demand management, dynamic traffic operation
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:3904-3924
In recent years, various deep learning architectures have been proposed to solve complex challenges (e.g. spatial dependency, temporal dependency) in traffic domain, which have achieved satisfactory performance. These architectures are composed of mu
Publikováno v:
ICPR
Stock price movement prediction is commonly accepted as a very challenging task due to the volatile nature of financial markets. Previous works typically predict the stock price mainly based on its own information, neglecting the cross effect among i
Publikováno v:
ICPR
Graph Convolutional Network (GCN) is adopted to tackle the problem of convolution operation in non-Euclidean space. Previous works on GCN have made some progress, however, one of their limitations is that the design of Adjacency Matrix (AM) as GCN in
Publikováno v:
Concurrency and Computation: Practice and Experience.
Publikováno v:
IJCNN
Subway passenger flow forecasting, an essential component of intelligent transportation system, is critical for traffic management, public safety, urban planning. However, it is very challenging due to the high nonlinearities and complex dynamic spat
Publikováno v:
Big Data – BigData 2020 ISBN: 9783030596118
BigData Congress
BigData Congress
Dynamic O-D flow estimation is the basis of metro network operation, such as transit resource allocation, emergency coordination, strategy formulation in urban rail system. It aims to estimate the destination distribution of current inflow of each or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9e9cd807004f76bfe9ffa2029054c81
https://doi.org/10.1007/978-3-030-59612-5_9
https://doi.org/10.1007/978-3-030-59612-5_9