Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Jing Jun Zhu"'
Publikováno v:
Asian Journal of Surgery, Vol 46, Iss 7, Pp 2703-2704 (2023)
Externí odkaz:
https://doaj.org/article/8804b741a2744e5f8f9d80de50ba4664
Autor:
Hai-Tao Jia, Shin-Ted Lin, Shu-Kui Liu, Hsin-Chang Chi, Muhammed Deniz, Chang-Hao Fang, Peng Gu, Xi Jiang, Yi-Ke Shu, Qian-Yun Li, Yu Liu, Ren-Ming-Jie Li, Chen-Kai Qiao, Chang-Jian Tang, Henry Tsz-King Wong, Hao-Yang Xing, Li-Tao Yang, Qian Yue, Yu-Lu Yan, Kang-Kang Zhao, Jing-Jun Zhu
Publikováno v:
Nuclear Science and Techniques. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c02aa5cbe59e33479dc61b6290548f45
https://doi.org/10.1007/s41365-022-01148-1
https://doi.org/10.1007/s41365-022-01148-1
Autor:
Xi Chen, Jing-Jun Zhu
Robust stimulated Raman exact passages are requisite for controlling nonlinear quantum systems, with the wide applications ranging from ultracold molecules, non-linear optics to superchemistry. Inspired by shortcuts to adiabaticity, we propose the fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3c3d47761e6f4246e7ab946ad9897fe
Autor:
Peng Gu, Yu-Lu Yan, Hao-Yang Xing, Yu Liu, Shuang-Rong Mo, Ke-Ming Chen, Neil Roberts, Jing-Jun Zhu
Publikováno v:
Nuclear Science and Techniques. 30
Artificial neural networks (ANNs) are a core component of artificial intelligence and are frequently used in machine learning. In this report, we investigate the use of ANNs to recover the saturated signals acquired in high-energy particle and nuclea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6594b8d16fa65ba2e877d9d03e300a
https://doi.org/10.1007/s41365-019-0677-0
https://doi.org/10.1007/s41365-019-0677-0
Publikováno v:
Advanced Materials Research. :3763-3767
A novel fusion algorithm based on Nonsubsampled Contourlet Transform (NSCT) is proposed, according to the characteristics of infrared and visible images. Firstly, the registered infrared and visible images from the same scene were transformed by NSCT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e502576dbd30db634fbfd54c08030d
https://doi.org/10.4028/www.scientific.net/amr.989-994.3763
https://doi.org/10.4028/www.scientific.net/amr.989-994.3763
Autor:
Ke-Jun Kang, Qian Yue, Yu-Cheng Wu, Jian-Ping Cheng, Yuan-Jing Li, Yang Bai, Yong Bi, Jian-Ping Chang, Nan Chen, Ning Chen, Qing-Hao Chen, Yun-Hua Chen, Yo-Chun Chuang, Zhi Deng, Qiang Du, Hui Gong, Xi-Qing Hao, Qing-Ju He, Xin-Hui Hu, Han-Xiong Huang, Teng-Rui Huang, Hao Jiang, Hau-Bin Li, Jian-Min Li, Jin Li, Jun Li, Xia Li, Xin-Ying Li, Xue-Qian Li, Yu-Lan Li, Heng-Yi Liao, Fong-Kay Lin, Shin-Ted Lin, Shu-Kui Liu, Lan-Chun Lü, Hao Ma, Shao-Ji Mao, Jian-Qiang Qin, Jie Ren, Jing Ren, Xi-Chao Ruan, Man-Bin Shen, Lakhwinder Singh, Manoj Kumar Singh, Arun Kumar Soma, Jian Su, Chang-Jian Tang, Chao-Hsiung Tseng, Ji-Min Wang, Li Wang, Qing Wang, Tsz-King Henry Wong, Shi-Yong Wu, Wei Wu, Hao-Yang Xing, Yin Xu, Tao Xue, Li-Tao Yang, Song-Wei Yang, Nan Yi, Chun-Xu Yu, Hao Yu, Xun-Zhen Yu, Xiong-Hui Zeng, Zhi Zeng, Lan Zhang, Yun-Hua Zhang, Ming-Gang Zhao, Wei Zhao, Su-Ning Zhong, Zu-Ying Zhou, Jing-Jun Zhu, Wei-Bin Zhu, Xue-Zhou Zhu, Zhong-Hua Zhu
Publikováno v:
Chinese Physics C, vol 37, iss 12
Kang, K-J; Yue, Q; Wu, Y-C; Cheng, J-P; Li, Y-J; Bai, Y; et al.(2017). The CDEX-1 1 kg Point-Contact Germanium Detector for Low Mass Dark Matter Searches. Chinese Physics C, 2013, 37. doi: 10.1088/1674-1137/37/12/126002. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/28n4r1jk
Kang, K-J; Yue, Q; Wu, Y-C; Cheng, J-P; Li, Y-J; Bai, Y; et al.(2017). The CDEX-1 1 kg Point-Contact Germanium Detector for Low Mass Dark Matter Searches. Chinese Physics C, 2013, 37. doi: 10.1088/1674-1137/37/12/126002. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/28n4r1jk
The CDEX Collaboration has been established for direct detection of light dark matter particles, using ultra-low energy threshold p-type point-contact germanium detectors, in China JinPing underground Laboratory (CJPL). The first 1 kg point-contact g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca8f80e469ac60b06669de0b74987a2f
https://escholarship.org/uc/item/28n4r1jk
https://escholarship.org/uc/item/28n4r1jk
Publikováno v:
2009 International Conference on Computational Intelligence and Software Engineering.
Web sequential pattern mining is an important way to learn the access behavior of web users. In this paper, we present an efficient method of web sequential pattern mining in the E- learning environment. Different from traditional mining methods, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8761674a9cd65f9c5aab388d9ce8d5b
https://doi.org/10.1109/cise.2009.5364267
https://doi.org/10.1109/cise.2009.5364267
Publikováno v:
SAC
In the development of HTTP protocol, the technique to overlap multiple HTTP requests and replies on single TCP connection, called 'keep-alive' or 'persistent connection', has won great success. It is already verified that, persistent connection could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43e6d8ada71aecc166d991841b86a788
https://doi.org/10.1145/1363686.1364256
https://doi.org/10.1145/1363686.1364256
Publikováno v:
2009 International Conference on Computational Intelligence & Software Engineering; 2009, p1-6, 6p
Publikováno v:
Physical Review A
Adiabatic passage is a standard tool for achieving robust transfer in quantum systems. We show that, in the context of driven nonlinear Hamiltonian systems, adiabatic passage becomes highly non-robust when the target is unstable. We show this result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14ce3a310f2018b548df61cdb792e01