Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Weiming Meng"'
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 4, Pp 378-390 (2022)
Abstract With the international development of the medical service informatisation, medical information sharing has become the key standard to measure the degree of medical informatisation. In this process, it is important to ensure the security of p
Externí odkaz:
https://doaj.org/article/c6c6893173d64971915fa423ee8be5a9
Autor:
Haoran Chen, Riyuan Wang, Weiming Meng, Fanglin Chen, Tao Li, Dingding Wang, Chunxiang Wei, Hongdian Lu, Wei Yang
Publikováno v:
Nanomaterials, Vol 11, Iss 11, p 2866 (2021)
A superhydrophobic macroporous material composed of hollow hemispherical MXene (HSMX) was synthesized by the thermal annealing of MXene-wrapped cationic polystyrene spheres (CPS@MXene). Notably, the spherical MXene shells exhibited highly efficient c
Externí odkaz:
https://doaj.org/article/9ddf924f8e39496e97b6266a69a51aad
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 237:54-66
Nozzleless housings for turbocharger turbines accelerate and guide flow into downstream rotors. Their design affects the aerodynamic performance and reliability of the turbines. Due to the three-dimensional nature of the volute of the housings, turbi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ecf2cf846b3b7568a313c0f21573d9
https://doi.org/10.1177/09544062221119045
https://doi.org/10.1177/09544062221119045
Autor:
Fanglin Chen, Tao Li, Wei Yang, Hongdian Lu, Dingding Wang, Haoran Chen, Riyuan Wang, Chun-Xiang Wei, Weiming Meng
Publikováno v:
Nanomaterials
Volume 11
Issue 11
Nanomaterials, Vol 11, Iss 2866, p 2866 (2021)
Volume 11
Issue 11
Nanomaterials, Vol 11, Iss 2866, p 2866 (2021)
A superhydrophobic macroporous material composed of hollow hemispherical MXene (HSMX) was synthesized by the thermal annealing of MXene-wrapped cationic polystyrene spheres (CPS@MXene). Notably, the spherical MXene shells exhibited highly efficient c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ee56c484d90943f8f5cbe1239e1f980
Publikováno v:
International Journal of Advanced Computer Research. 9:133-145
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffe72f41368fd7f18039fcef85336f55
https://doi.org/10.19101/ijacr.2019.940030
https://doi.org/10.19101/ijacr.2019.940030
Publikováno v:
International Journal of Database Management Systems. 11:57-73
Cloud database are derivatives of Cloud computing. At present, most medical institutions store data in cloud database. Although the cloud database improves the efficiency of use, it also poses a huge impact and challenge to the secure storage of data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f7b1fd47d28f7acdb5b903a13c042a1
https://doi.org/10.5121/ijdms.2019.11104
https://doi.org/10.5121/ijdms.2019.11104
Publikováno v:
International Journal of Database Management Systems. 11:19-35
With the continuous development of medical information construction, the potential value of a large amount of medical information has not been exploited. Excavate a large number of medical records of outpatients, and train to generate disease predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d7a465fd32ff71e389ee1da0c76dca5
https://doi.org/10.5121/ijdms.2019.11102
https://doi.org/10.5121/ijdms.2019.11102
Publikováno v:
2020 International Conference on E-Commerce and Internet Technology (ECIT).
This paper introduces the development of intelligent ships, then analyzes the types of big data collected by ships. Finally, the author puts forward the data analysis process for the intelligent ship operation management module, points out the main a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f1a13a82e703e99af418801a223df6
https://doi.org/10.1109/ecit50008.2020.00027
https://doi.org/10.1109/ecit50008.2020.00027
Autor:
Yaming Chen, Weiming Meng
With the continuous development of medical information construction, the potential value of a large amount of medical information has not been exploited. Excavate a large number of medical records of outpatients, and train to generate disease predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::a8da9ee4e71923d5644d9997991d42ac
https://zenodo.org/record/3040797
https://zenodo.org/record/3040797
Publikováno v:
Sensors and Materials. 32:4505
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::866e2ed43fcbcee94458f5a57705ab9d
https://doi.org/10.18494/sam.2020.3128
https://doi.org/10.18494/sam.2020.3128