Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shangpeng Yang"'
Autor:
Qiping Ge, Yan Ma, Lijie Zhang, Liping Ma, Caiyan Zhao, Yuhui Chen, Xuerui Huang, Wei Shu, Shengyu Chen, Fei Wang, Bo Li, Xiqin Han, Lian Shi, Xin Wang, Youlun Li, Shangpeng Yang, Wenli Cao, Qianying Liu, Ling Chen, Chao Wu, Bing Ouyang, Furong Wang, Po Li, Xiang Wu, Xiue Xi, Xueyan Leng, Haiqing Zhang, Hua Li, Juan Li, Chengqing Yang, Peng Zhang, Hongzhe Cui, Yuhong Liu, Chengcheng Kong, Zhaogang Sun, Jian Du, Weiwei Gao
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
Background and objectiveRetreatment pulmonary tuberculosis (PTB) still accounts for a large proportion of tuberculosis, and the treatment outcome is unfavorable. The recurrence of retreatment PTB based on long-term follow-up has not been well demonst
Externí odkaz:
https://doaj.org/article/3453658518a64387a077a431bf8f1e7c
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176383 (2017)
The correspondence of a stack of planar contours in ICT (industrial computed tomography)-based reverse engineering, a key step in surface reconstruction, is difficult when the contours or topology of the object are complex. Given the regularity of in
Externí odkaz:
https://doaj.org/article/9bb75b941fd546d9b456493dd453dd98
Autor:
Shangpeng Yang
Publikováno v:
2022 International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::411a138c6a8af0852abed99808295917
https://doi.org/10.1109/icdiime56946.2022.00013
https://doi.org/10.1109/icdiime56946.2022.00013
Autor:
Yuwen Fu, Shangpeng Yang
Publikováno v:
ICDIP
This paper proposes a novel human action recognition framework named Hidden Markov Model (HMM) based Hybrid Event Probability Sequence (HEPS), which can recognize unlabeled actions from videos. First, motion trajectories are effectively extracted usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52cbb4332a49c28a1349a9b7d38daa49
https://doi.org/10.1117/12.2196929
https://doi.org/10.1117/12.2196929
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 5, p e0176383 (2017)
PLoS ONE, Vol 12, Iss 5, p e0176383 (2017)
The correspondence of a stack of planar contours in ICT (industrial computed tomography)-based reverse engineering, a key step in surface reconstruction, is difficult when the contours or topology of the object are complex. Given the regularity of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a35f9cabc5419284d3e01921acad7e6
https://doi.org/10.1371/journal.pone.0176383
https://doi.org/10.1371/journal.pone.0176383