Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Yanmin Gong"'
Publikováno v:
BMC Pregnancy and Childbirth, Vol 23, Iss 1, Pp 1-4 (2023)
Abstract Background Preeclampsia complicated with hypofibrinogenemia is a rare disorder. We report two cases of severe preeclampsia complicated with hypofibrinogenemia followed by postpartum haemorrhage (PPH). Case Two women diagnosed as preeclampsia
Externí odkaz:
https://doaj.org/article/0631700a411a4bed9b4ce5c6bbaef5cf
Publikováno v:
地震科学进展, Vol 53, Iss 5, Pp 228-233 (2023)
The NE component curve of DSQ water tube tiltmeter at Yixian seismic station in Hebei Province had a downward trend since February 14, 2022. The annual change curve was different from that of previous years. Combined with the simulation results of th
Externí odkaz:
https://doaj.org/article/fbe1336095124bf195f8c6b3c92eafb8
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e43006 (2023)
BackgroundThe proliferation of mobile health (mHealth) applications is partly driven by the advancements in sensing and communication technologies, as well as the integration of artificial intelligence techniques. Data collected from mHealth applicat
Externí odkaz:
https://doaj.org/article/6bba0ab92786461bb0a2a4b0e5428600
Autor:
Na Zhang, Yanmin Gong
Publikováno v:
地震科学进展, Vol 52, Iss 2, Pp 84-88 (2022)
Based on the observation data of SS-Y extensometer at Yixian Seismic Station from 2014 to 2021, five typical events disturbed by the environment are analyzed, combined with the tectonic stress background field of Yixian deformation cave and the quant
Externí odkaz:
https://doaj.org/article/be5c6ed6d6274952b0e2bbd4f62b263a
Publikováno v:
JMIR mHealth and uHealth, Vol 10, Iss 6, p e35053 (2022)
BackgroundArtificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such p
Externí odkaz:
https://doaj.org/article/7e816bc7564147938bd529c257b251ec
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 2, Pp 276-289 (2021)
Federated learning engages a set of edge devices to collaboratively train a common model without sharing their local data and has advantage in user privacy over traditional cloud-based learning approaches. However, recent model inversion attacks and
Externí odkaz:
https://doaj.org/article/3cb21cb97e114876b9b31f1dd9ee2754
Publikováno v:
IEEE Access, Vol 8, Pp 62415-62422 (2020)
A face does not only have rigid variations but also non-rigid distortions, which has influenced the performance of groupwise face alignment. A novel method for groupwise face alignment which considers both rigid variations of a face and non-rigid dis
Externí odkaz:
https://doaj.org/article/72d3efd552a74692be0348b85cd03fbc
Publikováno v:
IEEE Access, Vol 8, Pp 114884-114891 (2020)
Researches on face alignment have made great progress, which benefits from the use of prior information and auxiliary models. However, that information lacks in a single face image has always affected the further development of these researches. The
Externí odkaz:
https://doaj.org/article/80e288fba94f41f59613d878c3fe6a6f
Publikováno v:
EAI Endorsed Transactions on Security and Safety, Vol 6, Iss 20 (2019)
Website fingerprinting attacks have been shown to be able to predict the website visited even if the networkconnection is encrypted and anonymized. These attacks have achieved accuracies as high as 92%. Mitigations to these attacks are using cover/de
Externí odkaz:
https://doaj.org/article/b5c8ecc8151949d7a89e3d99e3fcef03
Publikováno v:
IEEE Transactions on Mobile Computing. 22:1143-1156
Auction is becoming increasingly popular for dynamic spectrum access (DSA), while it is extremely vulnerable to sybil attacks. Existing studies on sybil-proof DSA auction impractically assume that attackers bid truthfully based on true appraisals. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a5a1bb732cf6690d8e74a126dce0f98
https://doi.org/10.1109/tmc.2021.3090103
https://doi.org/10.1109/tmc.2021.3090103