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pro vyhledávání: '"Chang, Haoxiang"'
Autor:
Shi, Feng, Chang, Haoxiang, Zhang, Le, Shan, Huanyuan, Zhang, Jiajun, Zhou, Suiping, Jiang, Ming, Wang, Zitong
Publikováno v:
Physical Review D 109, 063509 (2024)
The deep learning technique has been employed in removing foreground contaminants from 21 cm intensity mapping, but its effectiveness is limited by the large dynamic range of the foreground amplitude. In this study, we develop a novel foreground remo
Externí odkaz:
http://arxiv.org/abs/2310.06518
Stereo image quality assessment (SIQA) plays a crucial role in evaluating and improving the visual experience of 3D content. Existing visual properties-based methods for SIQA have achieved promising performance. However, these approaches ignore the t
Externí odkaz:
http://arxiv.org/abs/2308.04156
Akademický článek
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Autor:
Chang, Haoxiang1 (AUTHOR), Sewda, Anshuman1,2 (AUTHOR), Marquez-Luna, Carla3 (AUTHOR), White, Sierra R.1 (AUTHOR), Whitney, Bridget M.4 (AUTHOR), Williams-Nguyen, Jessica4 (AUTHOR), Nance, Robin M.1,5 (AUTHOR), Lee, Won Jun1 (AUTHOR), Kitahata, Mari M.5,6 (AUTHOR), Saag, Michael S.7 (AUTHOR), Willig, Amanda7 (AUTHOR), Eron, Joseph J.8 (AUTHOR), Mathews, W. Christopher9 (AUTHOR), Hunt, Peter W.10 (AUTHOR), Moore, Richard D.11,12 (AUTHOR), Webel, Allison13 (AUTHOR), Mayer, Kenneth H.14 (AUTHOR), Delaney, Joseph A.4 (AUTHOR), Crane, Paul K.5 (AUTHOR), Crane, Heidi M.5,6 (AUTHOR)
Publikováno v:
BMC Medicine. 10/28/2020, Vol. 18 Issue 1, p1-14. 14p.