Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Mingxiao Jiang"'
Publikováno v:
IEEE Access, Vol 11, Pp 77990-77999 (2023)
Traditional techniques for smart contract vulnerability detection rely on fixed expert criteria to discover vulnerabilities, which are less generalizable, scalable, and accurate. Deep learning algorithms help to address these issues, but most fail to
Externí odkaz:
https://doaj.org/article/5196dd95f65a4bdab646dd3109eed35d
Publikováno v:
Entropy, Vol 25, Iss 7, p 998 (2023)
Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks to sample from HIN and perform representation learning in order to overcome the bias of traditional random walks that are more biased towards high-ord
Externí odkaz:
https://doaj.org/article/a90dbb934546458392708c6766925deb
Autor:
Sha LIU, Dan WANG, Yun QIU, Mingxiao JIANG, Shiqing MA, Xiao SUN, pingqi ZHANG, Yingji JIANG, Xiaoling XU, Jun WU
Publikováno v:
SID Symposium Digest of Technical Papers. 53:700-703
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ca41b883748c4cee2317124cf7a613
https://doi.org/10.1002/sdtp.16066
https://doi.org/10.1002/sdtp.16066
Publikováno v:
Entropy; Volume 25; Issue 7; Pages: 998
Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks to sample from HIN and perform representation learning in order to overcome the bias of traditional random walks that are more biased towards high-ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::1b991915de593fb28f513a547e9369bf
Autor:
Dunpo Sun1, Mingxiao Jiang1, Meng Lu1, Xiaomin Ma1, Guochao Shang2, Yisong Wang3 15895798100@163.com
Publikováno v:
Alternative Therapies in Health & Medicine. Nov/Dec2023, Vol. 29 Issue 8, p271-277. 7p.
Publikováno v:
SID Symposium Digest of Technical Papers; Apr2024 Suppl 1, Vol. 55 Issue 1, p760-762, 3p
Publikováno v:
SID Symposium Digest of Technical Papers; Apr2023 Supplement 1, Vol. 54, p669-672, 4p
Autor:
Mingxiao Jiang, Feng-Bin Sun
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783030434113
Many companies adopted Design for Reliability (DFR) process and tool sets to drive reliability improvement. However, it has been very challenging for business sector to conduct DFR with meaningful reliability metrics, when the reliability requirement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ef8deb66d261d7fd66715e9459b4585
https://doi.org/10.1007/978-3-030-43412-0_2
https://doi.org/10.1007/978-3-030-43412-0_2
Autor:
Wei Huang, Mingxiao Jiang
Publikováno v:
Quality Engineering. 27:296-303
As an important reliability metric in disc drive industries, the annual failure rate (AFR), estimated from reliability demonstration tests (RDTs), is often used to make business decisions. Due to limited test sample size and short test duration, esti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5944ed76b4145b39e90a8e7db65c408
https://doi.org/10.1080/08982112.2014.990034
https://doi.org/10.1080/08982112.2014.990034
Autor:
Mingxiao Jiang, Weiqiu Chen
Publikováno v:
Quality Engineering. 27:317-328
To predict field reliability using analytical modeling, several important reliability activities should be conducted, including failure mode and effect analysis, stress and usage condition analysis, physics of failure analysis, accelerated life testi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fba18740cd8f7fd4c1ebfe86c6546113
https://doi.org/10.1080/08982112.2015.1036293
https://doi.org/10.1080/08982112.2015.1036293