Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiangxin Zhou"'
Publikováno v:
Energies, Vol 17, Iss 1, p 146 (2023)
A new non-intrusive reduced-order modeling method based on space-time parameter decoupling for parametrized time-dependent problems is proposed. This method requires the preparation of a database comprising high-fidelity solutions. The spatial bases
Externí odkaz:
https://doaj.org/article/f6521c2730f345358a1d37d5d9747dcd
Publikováno v:
Machine Intelligence Research. 20:194-206
Association, aiming to link bounding boxes of the same identity in a video sequence, is a central component in multi-object tracking (MOT). To train association modules, e.g., parametric networks, real video data are usually used. However, annotating
Publikováno v:
Materials Characterization. 192:112189
Autor:
Vassilis Kostakos, Fanchao Meng, Funing Sun, Hancheng Cao, Chao Zhang, Hongzhi Shi, Yong Li, Xiangxin Zhou
Publikováno v:
SDM
Scopus-Elsevier
Scopus-Elsevier
Understanding human mobility bene ts numerous applications such as urban planning, tra c control and city management. Previous work mainly focuses on modeling spatial and temporal patterns of human mobility. However, the semantics of trajectory are i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d813a9783742c63bd5d658b782a24e1b
https://doi.org/10.1137/1.9781611975673.87
https://doi.org/10.1137/1.9781611975673.87
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-1
Understanding human mobility benefits numerous applications such as urban planning, traffic control, and city management. Previous work mainly focuses on modeling spatial and temporal patterns of human mobility. However, the semantics of trajectory a