Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Quanhai Zhang"'
Autor:
Chengxin Peng, Zhihong Chen, Hong Zhang, Zhongxin Liu, Jiangfeng Zheng, Jiangqi Zhou, Zhanhui Jia, Quanhai Zhang, Chunyan Lai, Yuping Wu, Wei Tang
Publikováno v:
Energy & Fuels. 36:5009-5017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::907063770b21bee11101e235819f0d68
https://doi.org/10.1021/acs.energyfuels.2c00605
https://doi.org/10.1021/acs.energyfuels.2c00605
Publikováno v:
Journal of ICT Standardization.
The development of fifth generation mobile communication (5G) technology and Internet of Things (IoT) has enabled more mobile terminals to access the network and generate huge amounts of information content. This will make it difficult for the tradit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcb26142389addcc2ada937e6bfde87
https://doi.org/10.13052/jicts2245-800x.1114
https://doi.org/10.13052/jicts2245-800x.1114
Autor:
Chunyan Lai, Bin Wang, Jiawei Li, Quanhai Zhang, Yi Feng, Yijun Chen, Jingjing Wang, Jiaxi Ni
Publikováno v:
Ionics. 27:3749-3760
The nickel-rich cathode material NCM (LiNi1-x-yCoxMnyO2) has aroused widespread interests among researchers due to its high specific capacity and better cycle performance. Nevertheless, high nickel component also brings adverse influences such as Li+
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25ed26a630cdec5364d4b22db19532a
https://doi.org/10.1007/s11581-021-04171-1
https://doi.org/10.1007/s11581-021-04171-1
Publikováno v:
Ceramics International. 47:6341-6351
It is still a huge challenge to improve the safety and stability of Ni-rich (LiNi0.8Co0.1Mn0.1O2) cathode materials at elevated potential. Herein, the PrF3 layer is employed to protect LiNi0.8Co0.1Mn0.1O2 (NCM811) via a simple wet chemical process. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2030c9db2bd11e553f83c8b6604471e0
https://doi.org/10.1016/j.ceramint.2020.10.213
https://doi.org/10.1016/j.ceramint.2020.10.213
Publikováno v:
IJCNN
Despite much success has been achieved, neural machine translation (NMT) suffers from exposure bias and evaluation discrepancy. To be specific, the generation inconsistency between the training and inference process further causes error accumulation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee7ed10e191e148e7bd168a54b238b63
https://doi.org/10.1109/ijcnn48605.2020.9206915
https://doi.org/10.1109/ijcnn48605.2020.9206915
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638191
ICONIP (4)
ICONIP (4)
Twitter has gradually become a valuable source of people’s opinions and sentiments. Although tremendous progress has been made in sentiment analysis, mainstream methods hardly leverage user information. Besides, most methods strongly rely on sentim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d098129890adba6689ce7654acf7a5c
https://doi.org/10.1007/978-3-030-63820-7_75
https://doi.org/10.1007/978-3-030-63820-7_75
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030630300
CNCL
CNCL
Evaluation discrepancy and overcorrection phenomenon are two common problems in neural machine translation (NMT). NMT models are generally trained with word-level learning objective, but evaluated by sentence-level metrics. Moreover, the cross-entrop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5bb277a08a99e2c58d4865cb52c33f2
https://doi.org/10.1007/978-3-030-63031-7_15
https://doi.org/10.1007/978-3-030-63031-7_15
Publikováno v:
DSC
Scene text recognition has attracted lots of research interest in computer vision for decades due to its various application. However, it is still a challenging task because of texts appearance variations in term of perspective distortion, text line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9afd7e8f907648e178ec0a856955f5f9
https://doi.org/10.1109/dsc.2019.00049
https://doi.org/10.1109/dsc.2019.00049
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030368074
ICONIP (4)
ICONIP (4)
Recent research shows that the static and dynamic features of a lip utterance contain abundant identity-related information. In this paper, a new deep convolutional neural network scheme is proposed. The entire lip utterance is first divided into a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bd6b7d48eddeb7274d6f848eade750e
https://doi.org/10.1007/978-3-030-36808-1_18
https://doi.org/10.1007/978-3-030-36808-1_18
Autor:
Qunjie Xu, Chengxin Peng, Chunyan Lai, Zhihong Chen, Chao Xu, Junhe Yang, Quanhai Zhang, Wei Tang, Jiangqi Zhou, Guangzhi Yang
Publikováno v:
Advanced Engineering Materials. 23:2100068
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5322fec09533d7ed13a94179d3b62657
https://doi.org/10.1002/adem.202100068
https://doi.org/10.1002/adem.202100068