Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Tairan Huang"'
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0287439 (2023)
This study aims to give a comprehensive analysis of customers' acceptance and use of AI gadgets and its relevant ethical issues in the tourism and hospitality business in the era of the Internet of Things. Adopting a PRISMA methodology for Systematic
Externí odkaz:
https://doaj.org/article/3f5c32bc43fe487490fb3d06d5d2f8f0
Publikováno v:
Energies, Vol 16, Iss 14, p 5385 (2023)
Modern data center power distribution networks place greater demands on the stability and reliability of power supply. Growing network computing demands and complex network environments can cause network congestion, which in turn leads to network tra
Externí odkaz:
https://doaj.org/article/8f5071779d624d269754da1385145241
Publikováno v:
Accounting & Finance. 62:2879-2904
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df525a9ed5a378a74205da02f09e39af
https://doi.org/10.1111/acfi.12908
https://doi.org/10.1111/acfi.12908
Publikováno v:
Journal of University Teaching and Learning Practice. 17:205-221
Postgraduate education in China bears the dual mission of "high-end talent supply" and "scientific and technological innovation" as delegated by the Ministry of Education of China (2017). Improve the quality of postgraduate student training and manag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e49e4ee05096a24c8d61e3793976f2
https://doi.org/10.53761/1.17.5.14
https://doi.org/10.53761/1.17.5.14
Training a game-playing reinforcement learning agent requires multiple interactions with the environment. Ignorant random exploration may cause a waste of time and resources. It's essential to alleviate such waste. As discussed in this paper, under t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2a3d5ed629e7aacdbebfedd8b0eea48
Autor:
Stephen J. Maybank, Xianglong Liu, Dacheng Tao, Tairan Huang, Yuqing Ma, Aishan Liu, Xinyun Chen, Yitao Xu
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585198
ECCV (17)
ECCV (17)
Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness. Existing work on adversarial attacks have mainly focused on static scenes; however, it remains unclear whether suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03dfd77a524a9a19348222b23eb6514
https://doi.org/10.1007/978-3-030-58520-4_8
https://doi.org/10.1007/978-3-030-58520-4_8
Publikováno v:
Australasian Accounting Business & Finance Journal. 2014, Vol. 8 Issue 2, p15-34. 20p.
Publikováno v:
E3S Web of Conferences, Vol 275, p 02015 (2021)
In recent years, the world has been committed to the development of environmental industries and sustainable resources, and continues to implement the strategic idea of the scientific concept of development to prevent environmental pollution and reso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5bf84703b60c672839f101150333918
https://doi.org/10.1051/e3sconf/202127502015
https://doi.org/10.1051/e3sconf/202127502015
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030026974
IScIDE
IScIDE
Detection of lung nodules in chest CT scans is of great value to the early diagnosis of lung cancer. In this paper, we jointly use traditional object detection methods and deep learning, and thus propose a lung nodule detection algorithm for chest CT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93916326f5be5d2946df1a08a444799c
https://doi.org/10.1007/978-3-030-02698-1_57
https://doi.org/10.1007/978-3-030-02698-1_57
Publikováno v:
Journal of University Teaching & Learning Practice; 2020, Vol. 17 Issue 5, p1-16, 17p