Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Qiaochuan Chen"'
Publikováno v:
Materials Genome Engineering Advances, Vol 2, Iss 1, Pp n/a-n/a (2024)
Abstract Exploring the “composition‐microstructure‐property” relationship is a long‐standing theme in materials science. However, complex interactions make this area of research challenging. Based on the image processing and machine learnin
Externí odkaz:
https://doaj.org/article/765670d8139346c0aa4d8fe6a5f98cfd
Publikováno v:
Journal of Materials Research and Technology, Vol 26, Iss , Pp 2560-2574 (2023)
The formation of the secondary phases in the 2205 duplex stainless steel (DSS) influences greatly its mechanical properties. Studies on the microstructural evolution and coarsening behavior of the precipitates in the 2205 DSS have both scientific and
Externí odkaz:
https://doaj.org/article/a4c63780dafb485f8f7598cebfcedd92
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Materials properties depend not only on their compositions but also their microstructures under various processing conditions. So far, the analyses of complex microstructure images rely mostly on human experience, lack of automatic quantitat
Externí odkaz:
https://doaj.org/article/5bef81a320ce43ac865b0653a85f6729
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2020, Iss 1, Pp 1-18 (2020)
Abstract Image completion is an approach to fill a damaged region (hole) in an image. In this study, we adopt a novel method which can repair a target region with structural constraints in an architectural scene. An objective function that consists o
Externí odkaz:
https://doaj.org/article/45c178e1f7ef4802ab7ebef8f12dd2ec
Publikováno v:
IEEE Access, Vol 8, Pp 173576-173583 (2020)
Image inpainting is a technique that aims to fill in the missing regions with visually plausible content. However, an opposite idea, which is painting outside images, receives little work. In this study, we investigate the issue of image outpainting.
Externí odkaz:
https://doaj.org/article/d06c51657fa84aef942434436e9b9f71
Accurate and lightweight MRI super-resolution via multi-scale bidirectional fusion attention network
Publikováno v:
PLoS ONE, Vol 17, Iss 12 (2022)
High-resolution magnetic resonance (MR) imaging has attracted much attention due to its contribution to clinical diagnoses and treatment. However, because of the interference of noise and the limitation of imaging equipment, it is expensive to genera
Externí odkaz:
https://doaj.org/article/ff9cea64131f419b82aa0e4935729659
Publikováno v:
PLoS ONE, Vol 13, Iss 9, p e0200404 (2018)
Image completion techniques are required to complete missing regions in digital images. A key challenge for image completion is keeping consistency of image structures without ambiguity and visual artifacts. We propose a novel method for image comple
Externí odkaz:
https://doaj.org/article/37dc9f68f8984616954212827d829e77
Autor:
Shoushuang Huang, Xiansheng Cong, Tong Ye, Libin Liu, Kaimei Peng, Lingchao Zhang, Jinmei Bao, Pengyan Gao, Qiaochuan Chen, Qingquan He
Publikováno v:
Inorganic Chemistry Frontiers. 10:2387-2398
CuFe(SxSe1−x)2 NPs with adjusted S/Se ratios were synthesized via a hot-injection method, which exhibited excellent electrocatalytic activities for water splitting due to the reduced band gap, regulated d-band center, and high exposure of active (2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c5761dfebcfe937c64cadd9113c1de
https://doi.org/10.1039/d3qi00216k
https://doi.org/10.1039/d3qi00216k
Publikováno v:
Applied Intelligence. 52:17797-17809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bf26688f975c1bfcbc05c17c1ecd04c
https://doi.org/10.1007/s10489-022-03454-y
https://doi.org/10.1007/s10489-022-03454-y
Autor:
Yuexing Han, Yuhong Liu, Bing Wang, Qiaochuan Chen, Leilei Song, Lin Tong, Chuanbin Lai, Akihiko Konagaya
Publikováno v:
Neural Computing and Applications. 34:5729-5741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc42e1ecc9de5fd19f54beb87606f9e
https://doi.org/10.1007/s00521-021-06731-y
https://doi.org/10.1007/s00521-021-06731-y