Zobrazeno 21 - 30
of 18 914
pro vyhledávání: '"Zhao, Xiao"'
Autor:
Yang, Dingkang, Chen, Zhaoyu, Wang, Yuzheng, Wang, Shunli, Li, Mingcheng, Liu, Siao, Zhao, Xiao, Huang, Shuai, Dong, Zhiyan, Zhai, Peng, Zhang, Lihua
Context-Aware Emotion Recognition (CAER) is a crucial and challenging task that aims to perceive the emotional states of the target person with contextual information. Recent approaches invariably focus on designing sophisticated architectures or mec
Externí odkaz:
http://arxiv.org/abs/2303.11921
Autor:
Yang, Jun, Zhao, Xiao-Hong, Yan, Zhenyu, Wang, Xiangyu I., Zhang, Yan-Qiu, An, Zheng-Hua, Cai, Ce, Li, Xin-Qiao, Li, Zihan, Liu, Jia-Cong, Liu, Zi-Ke, Ma, Xiang, Meng, Yan-Zhi, Peng, Wen-Xi, Qiao, Rui, Shao, Lang, Song, Li-Ming, Tan, Wen-Jun, Wang, Ping, Wang, Chen-Wei, Wen, Xiang-Yang, Xiao, Shuo, Xue, Wang-Chen, Yang, Yu-han, Yin, Yihan, Zhang, Bing, Zhang, Fan, Zhang, Shuai, Zhang, Shuang-Nan, Zheng, Chao, Zheng, Shi-Jie, Xiong, Shao-Lin, Zhang, Bin-Bin
Publikováno v:
ApJL 947 L11 (2023)
The brightest Gamma-ray burst, GRB 221009A, has spurred numerous theoretical investigations, with particular attention paid to the origins of ultra-high energy TeV photons during the prompt phase. However, analyzing the mechanism of radiation of phot
Externí odkaz:
http://arxiv.org/abs/2303.00898
Autor:
Zhang, Yan-Qiu, Xiong, Shao-Lin, Qiao, Rui, Guo, Dong-Ya, Peng, Wen-Xi, Li, Xin-Qiao, Xue, Wang-Chen, Zheng, Chao, Liu, Jia-Cong, Tan, Wen-Jun, Wang, Chen-Wei, Zhang, Peng, Wang, Ping, Cai, Ce, Xiao, Shuo, Huang, Yue, Feng, Pei-Yi, Li, Xiao-Bo, Song, Li-Ming, Yi, Qi-Bin, Zhao, Yi, Guo, Zhi-Wei, He, Jian-Jian, Li, Chao-Yang, Liu, Ya-Qing, Gong, Ke, Du, Yan-Qi, Liu, Xiao-Jing, Xie, Sheng-Lun, Zhao, Guo-Ying, Zhao, Xiao-Yun, Zhang, Xiao-Lu, Zhang, Zhen, Zheng, Shi-Jie, Wang, Jin, Wen, Xiang-Yang, An, Zheng-Hua, Zhang, Da-Li, Gao, Min, Sun, Xi-Lei, Liang, Xiao-Hua, Yang, Sheng, Wang, Jin-Zhou, Chen, Gang, Zhang, Fan
The gamma-ray detectors (GRDs) of GECAM-C onborad SATech-01 satellite is designed to monitor gamma-ray transients all over the sky from 6 keV to 6 MeV. The energy response matrix is the key to do spectral measurements of bursts, which is usually gene
Externí odkaz:
http://arxiv.org/abs/2303.00698
Au, Sau Woon Rebecca.
Thesis (Ph.D.)--Chinese University of Hong Kong, 2013.
Includes bibliographical references.
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. A
Thesis (Ph.D.)--Chinese University of Hong Kong, 2013.
Includes bibliographical references.
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. A
Externí odkaz:
http://library.cuhk.edu.hk/record=b5884427
http://repository.lib.cuhk.edu.hk/en/item/cuhk-327640
http://repository.lib.cuhk.edu.hk/en/item/cuhk-327640
Autor:
Zhao, Xiao-Qiang
In this paper, we first prove the stability equivalence between a linear autonomous and cooperative functional differential equation (FDE) and its associated autonomous and cooperative system without time delay. Then we present the theory of basic re
Externí odkaz:
http://arxiv.org/abs/2302.12613
Autor:
Cai, Ce, Xiong, Shao-Lin, Xue, Wang-Chen, Zhao, Yi, Xiao, Shuo, Yi, Qi-Bin, Guo, Zhi-Wei, Liu, Jia-Cong, Zhang, Yan-Qiu, Zheng, Chao, Xie, Sheng-Lun, Du, Yan-Qi, Zhao, Xiao-Yun, Li, Cheng-Kui, Wang, Ping, Peng, Wen-Xi, Zheng, Shi-Jie, Song, Li-Ming, Li, Xin-Qiao, Wen, Xiang-Yang, Zhang, Fan
Publikováno v:
MNRAS,2023
Searching for X-ray and gamma-ray bursts, including Gamma-ray bursts (GRBs), Soft Gamma-ray Repeaters (SGRs) and high energy transients associated with Gravitational wave (GW) events or Fast radio bursts (FRBs), is of great importance in the multi-me
Externí odkaz:
http://arxiv.org/abs/2302.11755
With advances in deep learning, neural network based speech enhancement (SE) has developed rapidly in the last decade. Meanwhile, the self-supervised pre-trained model and vector quantization (VQ) have achieved excellent performance on many speech-re
Externí odkaz:
http://arxiv.org/abs/2302.08342
Autor:
Quan-Hao He, Jia-Jun Feng, Ling-Cheng Wu, Yun Wang, Xuan Zhang, Qing Jiang, Qi-Yuan Zeng, Si-Wen Yin, Wei-Yang He, Fa-Jin Lv, Ming-Zhao Xiao
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Objectives To develop an interactive, non-invasive artificial intelligence (AI) system for malignancy risk prediction in cystic renal lesions (CRLs). Methods In this retrospective, multicenter diagnostic study, we evaluated 715 patients. An
Externí odkaz:
https://doaj.org/article/d0609d2e7454451891ff894bf1702143