Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Zhengdong Lu"'
Autor:
Chunguang Han, Yubo Pan, Chang Liu, Xiaowei Yang, Jianbin Li, Kun Wang, Zhengkui Sun, Hui Liu, Gongsheng Jin, Fang Fang, Xiaofeng Pan, Tong Tang, Xiao Chen, Shiyong Pang, Li Ma, Xiaodong Wang, Yun Ren, Mengyou Liu, Feng Liu, Mengxue Jiang, Jiqi Zhao, Chenyang Lu, Zhengdong Lu, Dongjing Gao, Zefei Jiang, Jing Pei
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundAI-based clinical decision support system (CDSS) has important prospects in overcoming the current informational challenges that cancer diseases faced, promoting the homogeneous development of standardized treatment among different geograph
Externí odkaz:
https://doaj.org/article/2802d4a19dc34d52be4179b5985c3848
Publikováno v:
IEEE Access, Vol 10, Pp 39545-39554 (2022)
This work introduces a new information extraction task called Topic-Oriented Fragment Recognition (TOFR), whose goal is to recognize information related to a specific topic in long documents from professional fields. In this paper, we introduce two T
Externí odkaz:
https://doaj.org/article/5fc8ca9daa864e0ab122e78f9ec498a7
Publikováno v:
Energy Reports, Vol 6, Iss , Pp 1192-1198 (2020)
In order to reduce the conduction losses of the Dual-Active-Bridge (DAB) converter, this paper proposes an optimized modulation scheme based on deep reinforcement learning (DRL). Owing to the Extended-Phase-Shift (EPS) modulation based Deep Q-Network
Externí odkaz:
https://doaj.org/article/948c64f51fba4dc88d70c7511db91f98
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 10:4443-4455
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25ccb5b2aec1d8e27f2e1b56f48921d2
https://doi.org/10.1109/jestpe.2021.3135584
https://doi.org/10.1109/jestpe.2021.3135584
Publikováno v:
IEEE Access. 10:39545-39554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d6fad2d63814de95424bc7feded740e
https://doi.org/10.1109/access.2022.3166235
https://doi.org/10.1109/access.2022.3166235
Publikováno v:
Energy Reports, Vol 6, Iss, Pp 1192-1198 (2020)
In order to reduce the conduction losses of the Dual-Active-Bridge (DAB) converter, this paper proposes an optimized modulation scheme based on deep reinforcement learning (DRL). Owing to the Extended-Phase-Shift (EPS) modulation based Deep Q-Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4e44d7fd20d296e1ca1fe23e67af6da
https://doi.org/10.1016/j.egyr.2020.11.055
https://doi.org/10.1016/j.egyr.2020.11.055
Publikováno v:
ACM Transactions on Asian and Low-Resource Language Information Processing. 19:1-17
Outline extraction has been widely applied in online consultation to help experts quickly understand individual cases. Given a specific case described as unstructured plain text, outline extraction aims to make a summary for this case by answering a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7094fd4b7f757804466a38ee5b53b034
https://doi.org/10.1145/3377707
https://doi.org/10.1145/3377707
Publikováno v:
Neurocomputing. 371:177-187
Text classification is one of the key problems in natural language processing (NLP), and in early years, it was usually accomplished by feature-based machine learning models. Recently, the deep neural network has become a powerful learning machine, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::264553bdf3b94bbcec9714f17edc0740
https://doi.org/10.1016/j.neucom.2019.08.082
https://doi.org/10.1016/j.neucom.2019.08.082
Autor:
Weihao Hu, Jian Xiao, Zhengdong Lu, Qi Huang, Zhuoqiang Li, Zhe Chen, Frede Blaabjerg, Yuanhong Tang
Publikováno v:
Tang, Y, Hu, W, Xiao, J, Lu, Z, Li, Z, Huang, Q, Chen, Z & Blaabjerg, F 2022, ' RL-ANN-Based Minimum-Current-Stress Scheme for the Dual-Active-Bridge Converter With Triple-Phase-Shift Control ', I E E E Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 1, 9398852, pp. 673-689 . https://doi.org/10.1109/JESTPE.2021.3071724
Aiming to reduce the current stress and improve the power efficiency of the dual-active-bridge (DAB) converter, this article proposes a reinforcement learning (RL) + artificial neural network (ANN)-based minimum-current-stress scheme. In the first st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d484e3184415197e2ce180d9b7dcae
https://vbn.aau.dk/ws/files/532710535/RL_ANN_Based_Minimum_Current_Stress_Scheme_for_the_Dual_Active_Bridge_Converter_with_Triple_Phase_Shift_Control.pdf
https://vbn.aau.dk/ws/files/532710535/RL_ANN_Based_Minimum_Current_Stress_Scheme_for_the_Dual_Active_Bridge_Converter_with_Triple_Phase_Shift_Control.pdf
Autor:
Zhengdong Lu, Zhangqi Zhu, Jianghai Bi, Kuixiang Xiong, JiJun Wang, Chenbin Lu, Zhejing Bao, Wenjun Yan
Publikováno v:
2021 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bad1e5eb7bcbc172e37cf5793f728098
https://doi.org/10.1109/cac53003.2021.9728702
https://doi.org/10.1109/cac53003.2021.9728702