Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Minh-Quan Le"'
Autor:
Yuxin Chen, Kaiyi Deng, Ian M. Hughes, Claire E. Smith, Hongdao Meng, Minh Quan Le, Min Sun, Xianyan Zhang, Danping Liu
Publikováno v:
Health and Quality of Life Outcomes, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Background The shift work schedule is a common work arrangement that can disrupt typical sleep-wake rhythms and lead to negative health consequences. The present study aims to examine the effect of shift work on health-related quality of lif
Externí odkaz:
https://doaj.org/article/87c22059d7ff4c6499286c97decd7ffa
Autor:
Cornelia Peterson, Minh Quan Le, Nathan D. McClain, Elena Ghotbi, Shadpour Demehri, John M. Gross, Mohammed Emam, John H. Wilckens
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-7 (2023)
Abstract Background Synovial chondromatosis is an uncommon metaplastic process of the synovial lining that results in the formation of cartilaginous nodules within joints or their associated bursae or tendon sheaths. Radiologic evidence of mineralize
Externí odkaz:
https://doaj.org/article/4e27962a40674fb88f6aeab5ebc6579b
Autor:
Tuan, Phan Dinh, Minh Quan, Le, Nhi, Vo Trang, Huong, Hoang Minh, Phung, Le Thi Kim, Feng, Daolun
Publikováno v:
In Carbon Resources Conversion September 2022 5(3):231-239
Autor:
Fabien, Violet, Minh-Quan, Le, Michelle, Sergent, Guillaume, Bastiat, Van-Thanh, Tran, Marie-Claire, Venier-Julienne
Publikováno v:
In International Journal of Pharmaceutics 10 February 2016 498(1-2):96-109
Publikováno v:
2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5977ba0348691c656ae3408154cb59f8
https://doi.org/10.1109/iccais56082.2022.9990445
https://doi.org/10.1109/iccais56082.2022.9990445
Autor:
Tam V. Nguyen, Thanh Ngoc-Dat Tran, Viet-Tham Huynh, Bao Truong, Minh-Quan Le, Mohit Kumavat, Vatsa S. Patel, Mai-Khiem Tran, Minh-Triet Tran
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af96549b053dcd35ee61c76c0b9530a4
https://doi.org/10.1109/ismar-adjunct57072.2022.00185
https://doi.org/10.1109/ismar-adjunct57072.2022.00185
Publikováno v:
2022 IEEE Ninth International Conference on Communications and Electronics (ICCE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fb31b16ad62b9a233cd579248043c8c
https://doi.org/10.1109/icce55644.2022.9852098
https://doi.org/10.1109/icce55644.2022.9852098
Publikováno v:
Journal of Pharmacological Sciences, Vol 126, Iss 4, Pp 359-369 (2014)
Abstract.: The anti-inflammatory and anti-hepatotoxic effects of Ampelopsis brevipedunculata (A.bre) have been well known in folk medicine. An ethanol-extract of A.bre has been reported to inhibit carbon tetrachloric acid induced hepatic injury, sugg
Externí odkaz:
https://doaj.org/article/d5b91225284544c09b01e3365b882c7d
Autor:
Trung-Nghia Le, Tam V. Nguyen, Quoc-Cuong Tran, Lam Nguyen, Trung-Hieu Hoang, Minh-Quan Le, Minh-Triet Tran
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:16067-16070
In this paper, we introduce a practical system for interactive video object mask annotation, which can support multiple back-end methods. To demonstrate the generalization of our system, we introduce a novel approach for video object annotation. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6c7d7388257920b96cfb7eaa09aa65d
https://doi.org/10.1609/aaai.v35i18.18014
https://doi.org/10.1609/aaai.v35i18.18014
Autor:
Marco Emporio, Ariel Caputo, Andrea Giachetti, Marco Cristani, Guido Borghi, Andrea D’Eusanio, Minh-Quan Le, Hai-Dang Nguyen, Minh-Triet Tran, Felix Ambellan, Martin Hanik, Esfandiar Nava-Yazdani, Christoph von Tycowicz
This paper presents the outcomes of a contest organized to evaluate methods for the online recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the detection of gestures belonging to a dictionary of 16 classes characteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b4e233b7cd9fbc1706e78ea6f2931e
https://hdl.handle.net/11562/1085506
https://hdl.handle.net/11562/1085506
