Zobrazeno 1 - 10
of 295
pro vyhledávání: '"LI Yuewen"'
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 50, Iss 8, Pp 772-776 (2023)
Objective To investigate the correlation of peripheral blood lymphocyte, T-cell, Th-cell, and Ts-cell counts with the development of checkpoint-inhibitor-related pneumonitis in NSCLC. Methods The clinical data of 85 patients with NSCLC treated with i
Externí odkaz:
https://doaj.org/article/04a33d6458bd48c292a908a68583ac00
Autor:
Zhang Liying, Xiu Xiangqian, Li Yuewen, Zhu Yuxia, Hua Xuemei, Xie Zili, Tao Tao, Liu Bin, Chen Peng, Zhang Rong, Zheng Youdou
Publikováno v:
Nanophotonics, Vol 9, Iss 15, Pp 4497-4503 (2020)
Vertically aligned nanowire arrays, with high surface-to-volume ratio and efficient light-trapping absorption, have attracted much attention for photoelectric devices. In this paper, vertical β-Ga2O3 nanowire arrays with an average diameter/height o
Externí odkaz:
https://doaj.org/article/ef5e7bfb83604301b6c81e589c401fa2
Autor:
Li Yuewen, Chen Xinhua
Publikováno v:
MATEC Web of Conferences, Vol 142, p 01011 (2018)
Compatibilization between polyethylene(PE) and wood-flour was achieved by means of direct reactive extrusion of PE, wood-flour, maleic anhydride(MAH), co-monomer styrene(St) and dicumyl peroxide. Mechanical properties and heat distortion temperature(
Externí odkaz:
https://doaj.org/article/9c3ffba3fe6a4266b6935c37f1e712ac
Publikováno v:
In International Journal of Biological Macromolecules June 2024 270 Part 1
Autor:
Deng, Pengpeng, Zhang, Yunxin, Deng, Qianxi, Sun, Yufei, Li, Yuewen, Wang, Zihao, Jiang, Fatang
Publikováno v:
In Food Hydrocolloids June 2024 151
In the object detection task, CNN (Convolutional neural networks) models always need a large amount of annotated examples in the training process. To reduce the dependency of expensive annotations, few-shot object detection has become an increasing r
Externí odkaz:
http://arxiv.org/abs/2012.15159
MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification
Remote sensing (RS) scene classification is a challenging task to predict scene categories of RS images. RS images have two main characters: large intra-class variance caused by large resolution variance and confusing information from large geographi
Externí odkaz:
http://arxiv.org/abs/2012.14569
Autor:
Deng, Pengpeng, Wang, Zihao, Li, Yuewen, Ji, Simeng, Sun, Yufei, Deng, Qianxi, Chen, Juanjuan, Jiang, Fatang
Publikováno v:
In Food Hydrocolloids March 2025 160 Part 3
Akademický článek
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Publikováno v:
In Computer Vision and Image Understanding January 2023 227