Zobrazeno 1 - 10
of 500
pro vyhledávání: '"Ze Jia"'
Autor:
Chen, Jing, Chen, Ji-Yuan, Chen, Jun-Feng, Chen, Xiang, Fu, Chang-Bo, Guo, Jun, Guo, Yi-Han, Khaw, Kim Siang, Li, Jia-Lin, Li, Liang, Li, Shu, Lin, Yu-ming, Liu, Dan-Ning, Liu, Kang, Liu, Kun, Liu, Qi-Bin, Liu, Zhi, Lu, Ze-Jia, Lv, Meng, Song, Si-Yuan, Sun, Tong, Tang, Jian-Nan, Wan, Wei-Shi, Wang, Dong, Wang, Xiao-Long, Wang, Yu-Feng, Wang, Zhen, Wang, Zi-Rui, Wu, Wei-Hao, Yang, Hai-Jun, Yang, Lin, Yang, Yong, Yu, Dian, Yuan, Rui, Zhang, Jun-Hua, Zhang, Yu-Lei, Zhang, Yun-Long, Zhao, Zhi-Yu, Zhou, Bai-Hong, Zhu, Chun-Xiang, Zhu, Xu-Liang, Zhu, Yi-Fan
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetition rate electron beam to be deployed/delivered by the Shanghai High re
Externí odkaz:
http://arxiv.org/abs/2411.09345
Autor:
Xiao-Hui Wu, Zhi-Bin Ke, Ze-Jia Chen, Wen-Qi Liu, Yu-Ting Xue, Shao-Hao Chen, Dong-Ning Chen, Qing-Shui Zheng, Xue-Yi Xue, Yong Wei, Ning Xu
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Objective To build and validate a periprostatic fat magnetic resonance imaging (MRI) based radiomics nomogram for prediction of biochemical recurrence-free survival (bRFS) of patients with non-metastatic prostate cancer (PCa) receiving radic
Externí odkaz:
https://doaj.org/article/83dfeee548754b74aa878d575c11cae2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Object detection in drone aerial images is challenging due to the difficulty of small object detection and complex backgrounds. To address these issues, this paper proposes an improved object detection model, perception and target capture de
Externí odkaz:
https://doaj.org/article/fe7b5a9e3fa641e5aada92a55194a47f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Aerial image target detection is essential for urban planning, traffic monitoring, and disaster assessment. However, existing detection algorithms struggle with small target recognition and accuracy in complex environments. To address this i
Externí odkaz:
https://doaj.org/article/95bc7869caa044c19cc8214dd843b871
Approximating higher-order tensors by the Tucker format has been applied in many fields such as psychometrics, chemometrics, signal processing, pattern classification, and so on. In this paper, we propose some new Tucker-like approximations based on
Externí odkaz:
http://arxiv.org/abs/2301.06147
In this paper, we define a semi-tensor product for third-order tensors. Based on this definition, we present a new type of tensor decomposition strategy and give the specific algorithm. This decomposition strategy actually generalizes the tensor SVD
Externí odkaz:
http://arxiv.org/abs/2301.05937
Autor:
Shao-Hao Chen, Bo-Han Lin, Shao-Ming Chen, Qian-Ren-Shun Qiu, Zhong-Tian Ruan, Ze-Jia Chen, Yong Wei, Qing-Shui Zheng, Xue-Yi Xue, Wei-Bing Miao, Ning Xu
Publikováno v:
International Brazilian Journal of Urology, Vol 49, Iss 6, Pp 716-731 (2024)
ABSTRACT Objectives: Accurate preoperative prediction of adverse pathology is crucial for treatment planning of renal cell carcinoma (RCC). Previous studies have emphasized the potential of prostate-specific membrane antigen positron emission tomogra
Externí odkaz:
https://doaj.org/article/8a37ac7eafa84ad4ab1a446d2bdf9093
Akademický článek
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Akademický článek
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Publikováno v:
In Food Research International January 2023 163