Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chichun Zhou"'
Autor:
Chunming Qiu, Guoxiang Shao, Zhenyu Zhang, Chichun Zhou, Yuejie Hou, Enming Zhao, Xiao Guo, Xiaolin Guan
Publikováno v:
IEEE Access, Vol 12, Pp 21698-21709 (2024)
Sewer networks (SNs) are susceptible to various factors that can lead to failures, resulting in economic losses and environmental pollution. Data-driven approaches based on sewage flow monitoring enhance the awareness and maintenance capabilities of
Externí odkaz:
https://doaj.org/article/eaaf05fbf9d041a183b337f2ced1bfdc
Autor:
Le Gao, Qi Guo, Ruinan Xu, Haofan Dong, Chichun Zhou, Zhuohang Yu, Zhaokun Zhang, Lixian Wang, Xiaoyi Chen, Xin Wu
Publikováno v:
GCB Bioenergy, Vol 15, Iss 2, Pp 128-142 (2023)
Abstract Trichoderma reesei endoglucanases (EGs) have limited industrial applications due to its low thermostability and activity. Here, we aimed to improve the thermostability of EGs from T. reesei without reducing its activity counteracting the act
Externí odkaz:
https://doaj.org/article/6a3a483afda54d02992f789e58fddd05
Autor:
Jie Song, GuanWen Fang, Shuo Ba, Zesen Lin, Yizhou Gu, Chichun Zhou, Tao Wang, Cai-Na Hao, Guilin Liu, Hongxin Zhang, Yao Yao, Xu Kong
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 272, Iss 2, p 42 (2024)
Morphological classification conveys abundant information on the formation, evolution, and environment of galaxies. In this work, we refine a two-step galaxy morphological classification framework ( USmorph ), which employs a combination of unsupervi
Externí odkaz:
https://doaj.org/article/897db1559fc8433da0ecfa9ec728ba1f
Autor:
Yao Dai, Jun Xu, Jie Song, Guanwen Fang, Chichun Zhou, Shuo Ba, Yizhou Gu, Zesen Lin, Xu Kong
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 268, Iss 1, p 34 (2023)
By applying our previously developed two-step scheme for galaxy morphology classification, we present a catalog of galaxy morphology for H -band-selected massive galaxies in the COSMOS-DASH field, which includes 17,292 galaxies with stellar mass M _
Externí odkaz:
https://doaj.org/article/280a5590c85545c0917b2c3d65204b0d
Autor:
GuanWen Fang, Shuo Ba, Yizhou Gu, Zesen Lin, Yuejie Hou, Chenxin Qin, Chichun Zhou, Jun Xu, Yao Dai, Jie Song, Xu Kong
Publikováno v:
The Astronomical Journal, Vol 165, Iss 2, p 35 (2023)
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:
https://doaj.org/article/69a82d02b5bf4f529b112d1acd7e9d43
Publikováno v:
Cells, Vol 11, Iss 24, p 3987 (2022)
Red blood cell (RBC) distribution, RBC shape, and flow rate have all been shown to have an effect on the pulmonary diffusing capacity. Through this study, a gas diffusion model and the immersed finite element method were used to simulate the gas diff
Externí odkaz:
https://doaj.org/article/19a9543c0cd3463a99453fe279dff934
Autor:
Le Gao, Qi Guo, Ruinan Xu, Haofan Dong, Chichun Zhou, Zhuohang Yu, Zhaokun Zhang, Lixian Wang, Xiaoyi Chen, Xin Wu
Publikováno v:
GCB Bioenergy. 15:128-142
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1097c346f670ea9b3851b79e4bc736fc
https://doi.org/10.1111/gcbb.13011
https://doi.org/10.1111/gcbb.13011
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32260559e2a22ea6b61c4fb6a3bc3e3c
http://arxiv.org/abs/2112.13957
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:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17e1345e8bfab9119ff9ca5631e636a8