Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Guowang Du"'
Autor:
Xinlei Chen, Brajesh Kumar, Xinzhong Er, Helong Guo, Yuan-Pei Yang, Weikang Lin, Yuan Fang, Guowang Du, Chenxu Liu, Jiewei Zhao, Tianyu Zhang, Yuxi Bao, Xingzhu Zou, Yu Pan, Yu Wang, Xufeng Zhu, Kaushik Chatterjee, Xiangkun Liu, Dezi Liu, Edoardo P. Lagioia, Geeta Rangwal, Shiyan Zhong, Jinghua Zhang, Jianhui Lian, Yongzhi Cai, Yangwei Zhang, Xiaowei Liu
Publikováno v:
The Astrophysical Journal Letters, Vol 971, Iss 1, p L2 (2024)
We present early-phase good-cadence (hour-to-day) simultaneous multiband ( ugi and vrz bands) imaging of the nearby supernova SN 2024ggi, which exploded in the nearby galaxy NGC 3621. A quick follow-up was conducted within less than a day after the e
Externí odkaz:
https://doaj.org/article/9e758fda25914355a1a05a30446d5b0f
Autor:
Yuan-Pei Yang, Xiangkun Liu, Yu Pan, Xinzhong Er, Dezi Liu, Yuan Fang, Guowang Du, Yongzhi Cai, Xian Xu, Xinlei Chen, Xingzhu Zou, Helong Guo, Chenxu Liu, Yehao Cheng, Brajesh Kumar, Xiaowei Liu
Publikováno v:
The Astrophysical Journal, Vol 969, Iss 2, p 126 (2024)
SN 2023ixf, recently reported in the nearby galaxy M101 at a distance of 6.85 Mpc, was one of the closest and brightest core-collapse supernovae in the last decade. In this work, we present multiwavelength photometric observation of SN 2023ixf with t
Externí odkaz:
https://doaj.org/article/b4d4f01d16674987aca8cf988199542d
Publikováno v:
IEEE Access, Vol 6, Pp 74747-74761 (2018)
In multivariate time series clustering, the inter-similarity across distinct variates and the intra-similarity within each variate pose analytical challenges. Here, we propose a novel multivariate time series clustering method using multi-nonnegative
Externí odkaz:
https://doaj.org/article/4f874a8a1e3849f8ae5b61acba963fc8
Publikováno v:
Information Fusion. 93:330-343
Publikováno v:
Neural Computing and Applications. 35:11445-11458
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. :1-24
Publikováno v:
Intelligent Data Analysis. 25:339-357
Multi-view clustering aims to group similar samples into the same clusters and dissimilar samples into different clusters by integrating heterogeneous information from multi-view data. Non-negative matrix factorization (NMF) has been widely applied t
Publikováno v:
IEEE transactions on neural networks and learning systems.
Multiview subspace clustering has turned into a promising technique due to its encouraging ability to discover the underlying subspace structure. In recent studies, a lot of subspace clustering methods have been developed to strengthen the clustering
Publikováno v:
Spatial Data and Intelligence ISBN: 9783031245206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a7663b32e87ab5ca535ef412413a16
https://doi.org/10.1007/978-3-031-24521-3_10
https://doi.org/10.1007/978-3-031-24521-3_10
Publikováno v:
Spatial Data and Intelligence ISBN: 9783031245206
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b0d0ac5ad28dddbc561890184031c8
https://doi.org/10.1007/978-3-031-24521-3_8
https://doi.org/10.1007/978-3-031-24521-3_8