Zobrazeno 1 - 10
of 448
pro vyhledávání: '"Ling Bing, Kong"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Stereoscopic display technology plays a significant role in industries, such as film, television and autonomous driving. The accuracy of depth estimation is crucial for achieving high-quality and realistic stereoscopic display effects. In ad
Externí odkaz:
https://doaj.org/article/7e8b6d9667784f6b81e6c40dcaa69449
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Monocular depth estimation has a wide range of applications in the field of autostereoscopic displays, while accuracy and robustness in complex scenes are still a challenge. In this paper, we propose a depth estimation network for autostereo
Externí odkaz:
https://doaj.org/article/b93ba906a32a49a2b3464c1fa215b95c
Autor:
Zhuohao Xiao, Xiaodong Xiao, Ling Bing Kong, Hongbo Dong, Xiuying Li, Xinyuan Sun, Bin He, Shuangchen Ruan, Jianpang Zhai
Publikováno v:
Journal of Materiomics, Vol 9, Iss 6, Pp 1067-1112 (2023)
MXenes have received extensive attention from scholars due to their unique layered structure, significant electrical conductivity, and excellent mechanical properties. In addition to their pristine forms, they could also be incorporated with other co
Externí odkaz:
https://doaj.org/article/12a40fe912ce4ad1942b349da42549d1
Publikováno v:
PLoS ONE, Vol 19, Iss 9, p e0306385 (2024)
Scanning Electron Microscope (SEM) is a crucial tool for studying microstructures of ceramic materials. However, the current practice heavily relies on manual efforts to extract porosity from SEM images. To address this issue, we propose PSTNet (Pyra
Externí odkaz:
https://doaj.org/article/b75009466f54483f9852fa3ab59beb45
Autor:
Zhuohao Xiao, Xiaodong Xiao, Ling Bing Kong, Hongbo Dong, Xiuying Li, Bin He, Shuangchen Ruan, Jianpang Zhai, Kun Zhou, Qin Huang, Liang Chu
Publikováno v:
International Journal of Extreme Manufacturing, Vol 6, Iss 2, p 022006 (2024)
The traditional von Neumann computing architecture has relatively-low information processing speed and high power consumption, making it difficult to meet the computing needs of artificial intelligence (AI). Neuromorphic computing systems, with massi
Externí odkaz:
https://doaj.org/article/1da19c6ef3d244679cb7a0fddf315e9f
Publikováno v:
International Journal of Smart and Nano Materials, Vol 12, Iss 3, Pp 351-374 (2021)
Commercial Chinese ink was employed to disperse pristine vapor-grown carbon nanofibers (VGCNFs) in aqueous suspensions via horizontal ball milling. The obtained suspension was used to fabricate conductive paper-based composites through filtration-dep
Externí odkaz:
https://doaj.org/article/3ec9b9191b744c8fb84df2ae297c6371
Autor:
Wei Lian, Yan Liu, Wenjie Wang, Yangtao Dong, Sheng Wang, Rui Zhu, Nan Xie, Yueqin Wang, Zhenying Liu, Yin Liu, Ling Bing Kong
Publikováno v:
Journal of Asian Ceramic Societies, Vol 9, Iss 2, Pp 459-470 (2021)
Coal gangue is used to prepare flake nano-mullite with a molten salt method. In order to increase the utilization value, corundum composite ceramics were prepared from the nanomullite and alumina. The effect of particle size of the raw material size
Externí odkaz:
https://doaj.org/article/04371eff67104ce888431cf9c942a533
Publikováno v:
Progress in Electromagnetics Research Letters; 2024, Vol. 118, p99-105, 7p
Autor:
Hongfang Zhang, Liqiang Liu, Ju Gao, K. W. Kwok, Sheng-Guo Lu, Ling-Bing Kong, Biaolin Peng, Fang Hou
Publikováno v:
Nanomaterials, Vol 12, Iss 15, p 2674 (2022)
0.9KNbO3-0.1BaTiO3 ceramics, with a bimodal grain size distribution and typical tetragonal perovskite structure at room temperature, were prepared by using an induced abnormal grain growth (IAGG) method at a relatively low sintering temperature. In t
Externí odkaz:
https://doaj.org/article/b3ccd2d694304421ba4b1b8ba099abd5
Autor:
Zhenying Liu, Chongmei Wu, Kai Wang, Yan Wang, Guiyang Xian, Zhaolin Zhu, Yin Liu, Ling Bing Kong
Publikováno v:
ACS Applied Nano Materials. 6:1339-1346
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a97b7d3201213fa5f1bb3cfad86c28
https://doi.org/10.1021/acsanm.2c04977
https://doi.org/10.1021/acsanm.2c04977