Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chengqiao Lin"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:839-848
Deep learning methods are being increasingly used for urban traffic prediction where spatiotemporal traffic data is aggregated into sequentially organized matrices that are then fed into convolution-based residual neural networks. However, the widely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f57980be9e8d30cb3b15a7d124a83f2
https://doi.org/10.1109/tvcg.2020.3030410
https://doi.org/10.1109/tvcg.2020.3030410
Publikováno v:
2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4efa6aa2b76be8fc2c6eacbe67718389
https://doi.org/10.1109/icpeca53709.2022.9719153
https://doi.org/10.1109/icpeca53709.2022.9719153
Publikováno v:
2022 14th International Conference on Computer Research and Development (ICCRD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143ead4cfa61c5cc086f38cc7529d231
https://doi.org/10.1109/iccrd54409.2022.9730606
https://doi.org/10.1109/iccrd54409.2022.9730606
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Deep neural networks are being increasingly used for short-term traffic flow prediction, which can be generally categorized as convolutional (CNNs) or graph neural networks (GNNs). CNNs are preferable for region-wise traffic prediction by taking adva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a59df449050ae682ee45abda29aa05fb
https://doi.org/10.1109/tkde.2021.3112977
https://doi.org/10.1109/tkde.2021.3112977