Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jiaming Bi"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 41, Iss , Pp 102629- (2023)
Plate heat exchanger (PHE) has been extensively utilized in cooling systems of commercial electric vehicles (CEVs). To enhance comprehensive performance, it is crucial to optimize the structural configuration of PHE. In this paper, a simplified model
Externí odkaz:
https://doaj.org/article/ce20ca254dde4257a2edb2a3c5438bc6
Publikováno v:
IEEE Access, Vol 8, Pp 38776-38785 (2020)
This paper proposes a hybrid lane occupancy rate prediction model called 2LayersCapsNet, which combines the improved capsule network and convolutional neural networks (CNNs). The model uses CNNs to mine the spatial-temporal correlation characteristic
Externí odkaz:
https://doaj.org/article/50b58881a67c483d946bed7b14d28efd
Autor:
Yunhe Lin, Siwei Li, Chuzi Mo, Hongyu Liu, Jiaming Bi, Shuaimei Xu, Bo Jia, Chengxia Liu, Zhongjun Liu
Publikováno v:
Clinical Oral Investigations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5326ecefb477e279d16545318c31a8
https://doi.org/10.1007/s00784-023-05021-2
https://doi.org/10.1007/s00784-023-05021-2
Autor:
Jiaming Bi, Chuzi Mo, Siwei Li, Mingshu Huang, Yunhe Lin, Peiyan Yuan, Zhongjun Liu, Bo Jia, Shuaimei Xu
Publikováno v:
Biomaterials Science.
Metal and metal oxide NPs may have toxic effects on the immune system through a variety of different mechanisms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26246eb33b7b2fcc7be8ddcf4d2d6712
https://doi.org/10.1039/d3bm00271c
https://doi.org/10.1039/d3bm00271c
Publikováno v:
Computers & Industrial Engineering. 177:108998
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974f36989005ce567b14629a1d5c8028
https://doi.org/10.1016/j.cie.2023.108998
https://doi.org/10.1016/j.cie.2023.108998
Publikováno v:
IEEE Access, Vol 8, Pp 38776-38785 (2020)
This paper proposes a hybrid lane occupancy rate prediction model called 2LayersCapsNet, which combines the improved capsule network and convolutional neural networks (CNNs). The model uses CNNs to mine the spatial-temporal correlation characteristic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013df703b2e31a2a0205cb6e94f24da3
https://ieeexplore.ieee.org/document/9006880/
https://ieeexplore.ieee.org/document/9006880/
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6fffd7d72f13aaba3b29f6d181c80b
https://doi.org/10.2139/ssrn.4235967
https://doi.org/10.2139/ssrn.4235967
Autor:
Kai Jie Ng, Ming Xuan Kueh, Tianle Pay, Peter Peng Foo Lee, Zhen Xuan Wong, Jiaming Bi, Yan Yi Khong, Yong Leng Kelvin Tan
Publikováno v:
Polyhedron. 171:396-402
Four ruthenium(II) arene complexes containing mono-carbonyl analogues of curcumin (MAC) functioning as pendant or bridging ligands as well as chlorido ancillary ligands have been synthesized and structurally characterized by IR and 1H NMR spectroscop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a2dc50be13d27fdca315ed191c4be06
https://doi.org/10.1016/j.poly.2019.07.034
https://doi.org/10.1016/j.poly.2019.07.034
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 917 (2024)
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network’s perfor
Externí odkaz:
https://doaj.org/article/dfd02d4aa78745fb8b626edefb8e1526
Publikováno v:
Analytical and Bioanalytical Chemistry. 403:549-554
We report the development of a National Institute of Metrology (NIM) hemoglobin A(1c) (HbA(1c)) certified reference material (CRM). Each CRM unit contains about 10 μL of hemoglobin. Both hemoglobin and glycated hemoglobin were quantitatively determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::950de258927b9e44436865be8773632e
https://doi.org/10.1007/s00216-012-5834-9
https://doi.org/10.1007/s00216-012-5834-9