Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Chunmao Wang"'
Autor:
Chunmao, Wang1 (AUTHOR), Haijie, Cheng1 (AUTHOR), Zitong, Wang1 (AUTHOR), Zhi, Yang1 (AUTHOR) dryang2015@163.com
Publikováno v:
Journal of Cardiothoracic Surgery. 10/1/2024, Vol. 19 Issue 1, p1-6. 6p.
Publikováno v:
Nature and Science of Sleep. 14:2189-2201
Laryngopharyngeal reflux (LPR) is a common disorder in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS). This meta-analysis was carried out to evaluate the LPR prevalence in individuals with OSAHS and to analyze the correlation of LPR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faad60778a8ba9f26118a32ca2731860
https://doi.org/10.2147/nss.s390272
https://doi.org/10.2147/nss.s390272
Autor:
YunSong Li, Heng Wang, Chunmao Wang, Li Zhang, Yuxuan Wang, Zhexin Bai, Dongjie Yan, Fangchao Liu, Hongyun Ruan
Aim: To compare and analyze postoperative short-term and long-term destroyed lung (DL) disease prognosis for patients undergoing left versus right pneumonectomy and to explore related risk factors. Methods: Retrospective analysis was conducted of cli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7229787bfbf0afe737447d70891992f3
https://doi.org/10.21203/rs.3.rs-2513893/v1
https://doi.org/10.21203/rs.3.rs-2513893/v1
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d99c531e9150b81bcbd981f749e789d
https://doi.org/10.1007/978-3-031-26351-4_4
https://doi.org/10.1007/978-3-031-26351-4_4
Autor:
Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao Wang, Shiliang Pu
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:3278-3286
Using data generated by generative adversarial networks or three-dimensional (3D) technology for face recognition training is a theoretically reasonable solution to the problems of unbalanced data distributions and data scarcity. However, due to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b47ed6070cc114643f95e43873639df
https://doi.org/10.1609/aaai.v35i4.16439
https://doi.org/10.1609/aaai.v35i4.16439
Autor:
Zhang Yanyi, Di Xie, Ming Kong, Qiang Zhu, Rongwang Yang, Zhao Tianqi, Hong Wenchen, Li Rong, Chunmao Wang
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 22:400-414
Traditional diagnosis of attention deficit hyperactivity disorder (ADHD) in children is primarily through a questionnaire filled out by parents/teachers and clinical observations by doctors. It is inefficient and heavily depends on the doctor’s lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fdc75c911620313aab768f6b53ce070
https://doi.org/10.1631/fitee.1900729
https://doi.org/10.1631/fitee.1900729
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations. To alleviate this problem, a large amount of efforts has been dedicated to exploiting various weakly supervised methods which leverage nume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb9e13f2f3867fa7eabfa016230b751a
http://arxiv.org/abs/2204.00379
http://arxiv.org/abs/2204.00379
Autor:
Qiang Li, Jingjing Wang, Zhaoliang Yao, Yachun Li, Pengju Yang, Jingwei Yan, Chunmao Wang, Shiliang Pu
Learning from a label distribution has achieved promising results on ordinal regression tasks such as facial age and head pose estimation wherein, the concept of adaptive label distribution learning (ALDL) has drawn lots of attention recently for its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e58a70dd345b5f9fb72a61412d8c970
http://arxiv.org/abs/2204.00309
http://arxiv.org/abs/2204.00309
Publikováno v:
ACM Multimedia
Automatic facial action unit (AU) recognition is a challenging task due to the scarcity of manual annotations. To alleviate this problem, a large amount of efforts has been dedicated to exploiting various methods which leverage numerous unlabeled dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c901bdfae89d4bda9e1513543fcb39d4
Publikováno v:
31st International Symposium on Ballistics.
Research on the flow field around muzzles usually assumes that the barrel is motionless, without considering barrel recoil. The present work studies the influence of gun recoil velocity on the muzzle flow field using computational fluid dynamics (CFD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::596e86b2ffd37d08139b5a5977820c87
https://doi.org/10.12783/ballistics2019/33149
https://doi.org/10.12783/ballistics2019/33149