Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Suli Fan"'
Publikováno v:
Frontiers in Energy Research, Vol 11 (2023)
The efficient utilization of waste heat resources plays a pivotal role in enhancing energy efficiency and curbing carbon emissions. To address this, effective planning for waste heat recovery (WHR) utilization becomes imperative, guiding consumers in
Externí odkaz:
https://doaj.org/article/7bd3cb19d4484511a1dfe37fb3418553
Publikováno v:
IEEE Access, Vol 8, Pp 113262-113270 (2020)
Mechanical wear failure is the main cause of device failure, and wear particles can be utilized to judge the degree and mechanism of mechanical wear. However, with the further study by researchers, the classes of wear particles are likely to increase
Externí odkaz:
https://doaj.org/article/cf4186fe34454c3e9cf730c0c001593f
Publikováno v:
ACS Omega. 8:6608-6620
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a82bc872f134c5764093c96a5b13214b
https://doi.org/10.1021/acsomega.2c07043
https://doi.org/10.1021/acsomega.2c07043
Publikováno v:
Journal of Manufacturing Processes. 81:371-385
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbb4b633ae3894a7d7d66932cb73226
https://doi.org/10.1016/j.jmapro.2022.07.009
https://doi.org/10.1016/j.jmapro.2022.07.009
Autor:
Taohong Zhang, Xuxu Guo, Hen Chen, Suli Fan, Qianqian Li, Saian Chen, Xueqiang Guo, Han Zheng
Molecular properties play a crucial role in material discovery, protein interaction and drug development. The appearance of Graph Neural Network(GNN) significantly improved the performance of molecular property prediction. However, nodes in GNN only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4ada3396dda747aaba413a012d44686
https://doi.org/10.21203/rs.3.rs-1795724/v1
https://doi.org/10.21203/rs.3.rs-1795724/v1
Publikováno v:
Journal of Mechanical Science and Technology. 35:1699-1710
Wear particles produced by machines in the process of wear carry valuable information including wear mechanism and wear severity. Wear particle classification based on wear particle images provides predictive analysis for wear condition of machines.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9097be23c78d5e1a109366aea481a45d
https://doi.org/10.1007/s12206-021-0333-6
https://doi.org/10.1007/s12206-021-0333-6
Publikováno v:
Machine Vision and Applications. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0825725c98d725067a3f044fd35f626
https://doi.org/10.1007/s00138-022-01287-w
https://doi.org/10.1007/s00138-022-01287-w
Publikováno v:
IEEE Access, Vol 8, Pp 113262-113270 (2020)
Mechanical wear failure is the main cause of device failure, and wear particles can be utilized to judge the degree and mechanism of mechanical wear. However, with the further study by researchers, the classes of wear particles are likely to increase
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07ac19ac2ac8bf9dc7eedf73df6c00b6
https://ieeexplore.ieee.org/document/9119105/
https://ieeexplore.ieee.org/document/9119105/
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b19b66f16080f697e5ba0a145a24acbc
https://doi.org/10.2139/ssrn.4111789
https://doi.org/10.2139/ssrn.4111789
Publikováno v:
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience
In this paper, a feature fusion method with guiding training (FGT-Net) is constructed to fuse image data and numerical data for some specific recognition tasks which cannot be classified accurately only according to images. The proposed structure is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44bf34876d780e421b547c3a32c99307