Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Meixia, Qu"'
Autor:
Guang Zhang, Xue Yang, Wenting Kang, Tongtong Liu, Lili Cheng, Meixia Qu, Xinlun Wang, Houlin Tang
Publikováno v:
AIDS Research and Therapy, Vol 20, Iss 1, Pp 1-10 (2023)
Abstract Background Pre-exposure prophylaxis (PrEP) is a proven biomedical strategy to prevent HIV transmission among men who have sex with men (MSM). Despite oral PrEP is safe and effective in MSM, the use of PrEP has been discouraging, especially i
Externí odkaz:
https://doaj.org/article/aba471a32e9d438a86124461e7493677
Publikováno v:
The Astronomical Journal, Vol 168, Iss 6, p 244 (2024)
Estimating photometric redshifts (photo- z ) of quasars is crucial for measuring cosmic distances and monitoring cosmic evolution. While numerous point estimation methods have successfully determined photo- z , they often struggle with the inherently
Externí odkaz:
https://doaj.org/article/0c1d8c322dce483fb0990a4e7e3d8ec0
Publikováno v:
The Astronomical Journal, Vol 167, Iss 6, p 260 (2024)
The automated and efficient classification of astronomical spectra is an important research issue in the era of large sky surveys. Most current studies on automatic spectral classification primarily focus on specific data sets and demonstrate outstan
Externí odkaz:
https://doaj.org/article/c33c5c5118cb4252ae9a2ab4035ffc0c
Autor:
Meixia, Qu, Baikady, Rajendra, Ali, Isahaque, Jamir Singh, Paramjit Singh, Azman, Azlinda, Uddin, Muhammed Kabir
Publikováno v:
Discover Global Society; 9/10/2024, Vol. 2 Issue 1, p1-13, 13p
Publikováno v:
Universe, Vol 9, Iss 11, p 477 (2023)
Telescopes such as the Large Sky Area Multi-Object Spectroscopic Telescope and the Sloan Digital Sky Survey have produced an extensive collection of spectra, challenging the feasibility of manual classification in terms of accuracy and efficiency. To
Externí odkaz:
https://doaj.org/article/0b79f054fa3944798aad3cf8ec3d995d
Publikováno v:
IEEE Access, Vol 9, Pp 77407-77415 (2021)
Recently, recommender systems based on Graph Convolution Network (GCN) have become a research hotspot, especially in collaborative filtering. However, most GCN-based models have inferior embedding propagation mechanism, leading to low information ext
Externí odkaz:
https://doaj.org/article/93654cbef37a493e8efd4d1108d02479
Publikováno v:
IEEE Access, Vol 8, Pp 161727-161738 (2020)
Graph clustering is a fundamental task in data analysis and has attracted considerable attention in recommendation systems, mapping knowledge domain, and biological science. Because graph convolution is very effective in combining the feature informa
Externí odkaz:
https://doaj.org/article/80709615459f42f7b98c8760cdd85f31
Publikováno v:
Neural Computing and Applications. 35:2633-2646
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b6e336c20d89fb1f0422407c09295db
https://doi.org/10.1007/s00521-022-07735-y
https://doi.org/10.1007/s00521-022-07735-y
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5383 (2021)
In recent studies, self-supervised learning methods have been explored for monocular depth estimation. They minimize the reconstruction loss of images instead of depth information as a supervised signal. However, existing methods usually assume that
Externí odkaz:
https://doaj.org/article/6c22697fe72b43afb7fabe3e1c191894
Publikováno v:
Universe, Vol 6, Iss 4, p 60 (2020)
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) has produced massive medium-resolution spectra. Data mining for special and rare stars in massive LAMOST spectra is of great significance. Feature extraction plays an important ro
Externí odkaz:
https://doaj.org/article/80cf83eac38340cb9a5d77a93112881f