Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Kewei Wu"'
Autor:
Changsheng Xu, Lihao Liu, Kewei Wu, Jie Wang, Hao Yang, Jieai Chen, Dr. Guangpeng Zhou, Prof. Xuebu Hu
Publikováno v:
ChemElectroChem, Vol 10, Iss 18, Pp n/a-n/a (2023)
Abstract MnSe and Co0.85Se embedded in nitrogen‐doped carbon nanofibers (MnSe/Co0.85Se/N‐CNFs) were synthesized by electrospinning and high‐temperature calcination, and evaluated for the first time as sodium/potassium‐ion battery anode materi
Externí odkaz:
https://doaj.org/article/9d98d50c58d44c9f950b1c63441c5039
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3441-3453 (2021)
Abstract Anomaly event detection is vital in surveillance video analysis. However, how to learn the discriminative motion in the crowd scene is still not tackled. Here, a deep social force network by exploiting both social force extracting and deep m
Externí odkaz:
https://doaj.org/article/f9b737b35a6a4726b5ad426c877f8b3f
Publikováno v:
IEEE Access, Vol 9, Pp 99398-99408 (2021)
Social relation, as the basic relation in our daily life, is vital for social action analysis. However, how to learn the social feature between people is still not tackled. In this work, we propose a gaze-aware graph convolutional network (GA-GCN) fo
Externí odkaz:
https://doaj.org/article/9e5cb356c42c4777957b0205691f9117
Publikováno v:
BMC Ophthalmology, Vol 20, Iss 1, Pp 1-5 (2020)
Abstract Background To determine plasma ephrin-A1 and VEGF165 levels in a cohort of diabetic retinopathy patients. Methods Plasma ephrin-A1 and VEGF165 levels in fifty-five subjects including 19 individuals without diabetes (non-DM), 16 patients with
Externí odkaz:
https://doaj.org/article/c2e6f3b6d3394580aa522dbc99f38fce
Publikováno v:
IEEE Access, Vol 8, Pp 129899-129910 (2020)
Monocular depth estimation is an ill-posed problem because infinite 3D scenes can be projected to the same 2D scenes. Most recent methods focus on image-level information from deep convolutional neural networks, while training them may suffer from sl
Externí odkaz:
https://doaj.org/article/09346dda744540b191ed994dbce1482a
Autor:
Yuan Feng, Xinhui Huang, Chengjun Yu, Xuewei Jia, Shuqi Li, Mengzhao Li, Yunyun Fan, Zhijun Liang, Weiyi Sun, Kewei Wu, Mei Zhao, Joao Guimaraes da Costa, Gaobo Xu
Publikováno v:
IEEE Transactions on Nuclear Science. 69:2324-2329
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77c387002992ed3e956fb86619783129
https://doi.org/10.1109/tns.2022.3221482
https://doi.org/10.1109/tns.2022.3221482
Publikováno v:
Nano Research. 16:2373-2382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400fe3e847bab1f8228cf97bd05806fb
https://doi.org/10.1007/s12274-022-4897-y
https://doi.org/10.1007/s12274-022-4897-y
Publikováno v:
Ionics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f0ae96638b7c8cb9dab60a72bfcaebf
https://doi.org/10.1007/s11581-023-05030-x
https://doi.org/10.1007/s11581-023-05030-x
Publikováno v:
Journal of Materials Science: Materials in Electronics. 32:28223-28233
Lithium-rich manganese-based cathode materials have become one of the most concerned cathode materials for high-energy lithium-ion batteries. In order to improve its electrochemical performance, Li1.2Mn0.54Ni0.13Co0.13O2 with different content LiNbO3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8afb121a4d6a21cc684b863ba7729aab
https://doi.org/10.1007/s10854-021-07199-1
https://doi.org/10.1007/s10854-021-07199-1
Publikováno v:
Chemical Engineering Journal. 466:142988
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::918fdc48fa6261c35ffddbb6054ef176
https://doi.org/10.1016/j.cej.2023.142988
https://doi.org/10.1016/j.cej.2023.142988