Zobrazeno 1 - 10
of 9 157
pro vyhledávání: '"Fang, G."'
Autor:
Fang, G. W., Ba, S., Gu, Y. Z., Lin, Z. S., Hou, Y. J., Qin, C. X., Zhou, C. C., Xu, J., Dai, Y., Song, J., Kong, X.
Classification of galaxy morphology is a challenging but meaningful task for the enormous amount of data produced by the next-generation telescope. By introducing the adaptive polar coordinate transformation, we develop a rotationally invariant super
Externí odkaz:
http://arxiv.org/abs/2212.06981
Publikováno v:
Drug Design, Development and Therapy, Vol Volume 18, Pp 767-780 (2024)
Jiying Liu,1– 3 Guangyao Fang,2,4 Cong Lan,2 Chenming Qiu,5 Li Yao,2 Qian Zhang,2 Jingtang Hu,2 Yaolei Zhang,6 Yongjian Yang,1,2 Yan Zhang1,2 1Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 64600
Externí odkaz:
https://doaj.org/article/87a97cb9177a49cbb6f4e028eb73d51b
Autor:
Roncoroni, G., Forte, E., Santin, I., Černok, A., Rajšić, A., Frigeri, A., Zhao, W., Fang, G., Pipan, M.
Publikováno v:
In Icarus October 2024 421
In order to obtain morphological information of unlabeled galaxies, we present an unsupervised machine-learning (UML) method for morphological classification of galaxies, which can be summarized as two aspects: (1) the methodology of convolutional au
Externí odkaz:
http://arxiv.org/abs/2112.13957
A distance-deviation consistency and model-independent method to test the cosmic distance duality relation (CDDR) is provided. The method is worth attention on two aspects: firstly, a distance-deviation consistency method is used to pair subsamples:
Externí odkaz:
http://arxiv.org/abs/2011.06881
Publikováno v:
Journal of Inflammation Research, Vol Volume 16, Pp 2773-2782 (2023)
Biao Yang,1,* Xiaoyong Wang,2,* Zhaorui Liu,1,* Zhengmao Lu,1 Guoen Fang,1 Xuchao Xue,1 Tianhang Luo1 1Department of General Surgery, Changhai Hospital, The Second Military Medical University, Shanghai, 200433, People’s Republic of Chin
Externí odkaz:
https://doaj.org/article/f233066a93d34c1aa25ea9f27e071703
Akademický článek
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Publikováno v:
International Journal of Nanomedicine, Vol Volume 17, Pp 4843-4860 (2022)
Xiao Liang, Kai Wen, Yingxuan Chen, Guangxu Fang, Shengcai Yang, Quanshun Li Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, Changchun, People’s Republic of ChinaCorrespon
Externí odkaz:
https://doaj.org/article/3385eb1735cf4132b7da55b8033b38d8
Publikováno v:
Journal of Inflammation Research, Vol Volume 15, Pp 4693-4708 (2022)
Yingze Li,* Guojian Fang,* Wei Cao,* Jiali Yuan,* Shuai Song, Hong Peng, Yuepeng Wang, Qunshan Wang Department of Cardiology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, 200092, People’s
Externí odkaz:
https://doaj.org/article/3e0c570a406746bbace1c7f9f055b3a4
Autor:
Wang, Tao, Elbaz, D., Alexander, D. M., Xue, Y. Q., Gabor, J. M., Juneau, S., Schreiber, C., Zheng, X-Z., Wuyts, S., Shi, Y., Daddi, E., Shu, X-W., Fang, G-W., Huang, J-S., Luo, B., Gu, Q-S.
Publikováno v:
A&A 601, A63 (2017)
We explore the dependence of the incidence of moderate-luminosity ($L_{X} = 10^{41.9-43.7}$ erg s$^{-1}$) AGNs and the distribution of their accretion rates on host color at 0.5 < z < 2.5, using deep X-ray data in GOODS fields. We use extinction-corr
Externí odkaz:
http://arxiv.org/abs/1612.03179