Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Zuozheng Lian"'
Autor:
Zuozheng Lian, Haizhen Wang
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The investigation of image deblurring techniques in dynamic scenes represents a prominent area of research. Recently, deep learning technology has gained extensive traction within the field of image deblurring methodologies. However, such me
Externí odkaz:
https://doaj.org/article/10e5624924594b4bbc9b81d4450bf517
Publikováno v:
Journal of Materials Research and Technology, Vol 19, Iss , Pp 2458-2469 (2022)
Hemp is an environmentally friendly porous fiber, and has good sound absorption properties, which can be used to reduce noise. In recent years, hemp-based composites have been widely studied, but most of them study the preparation methods of material
Externí odkaz:
https://doaj.org/article/282f6b6ac22b4ddbbde9986129a6ef47
Publikováno v:
Symmetry, Vol 14, Iss 5, p 863 (2022)
Current acoustic modeling methods face problems such as complex processes or inaccurate sound absorption coefficients, etc. Therefore, this paper studies the topic. Firstly, the material samples were prepared, and standing wave tube method experiment
Externí odkaz:
https://doaj.org/article/3b750df0562d4d9794d9c7f1f3959a3d
Publikováno v:
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p3939-3954, 16p
Publikováno v:
Computers, Materials & Continua. 75:3111-3131
Publikováno v:
Mathematical Problems in Engineering. 2022:1-7
In order to solve the problems of low brightness contrast of a color image, hiding a large amount of detail information, and deviation of color information in the process of image acquisition, an optimization method of plane image color enhancement p
Publikováno v:
Mobile Information Systems. 2022:1-11
Deblurring methods in dynamic scenes are a challenging problem. Recently, significant progress has been made for image deblurring methods based on deep learning. However, these methods usually stack ordinary convolutional layers or increase convoluti
Publikováno v:
Forests; Volume 14; Issue 6; Pages: 1211
As a current research hotspot, graph convolution networks (GCNs) have provided new opportunities for tree species classification in multi-source remote sensing images. To solve the challenge of limited label information, a new tree species classifica
Publikováno v:
Computers, Materials & Continua; 2023, Vol. 77 Issue 3, p3095-3117, 23p
Publikováno v:
Computers, Materials & Continua. 72:1515-1528