Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zekun Luo"'
Publikováno v:
Catalysis Communications, Vol 149, Iss , Pp 106252- (2021)
Constructing a hollow structured Ce-based catalyst is an effective way to result in an efficient catalytic system for the selective catalytic reduction of NOx using NH3 (NH3-SCR). A WO3@CeO2 catalyst with hollow structure was successfully developed u
Externí odkaz:
https://doaj.org/article/be9c3501b1ff47278efa2758724d2803
Publikováno v:
Atmospheric Chemistry & Physics Discussions; 4/17/2024, p1-24, 24p
Autor:
Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang
Despite plenty of efforts focusing on improving the domain adaptation ability (DA) under unsupervised or few-shot semi-supervised settings, recently the solution of active learning started to attract more attention due to its suitability in transferr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab847d132d480e977262b8a6d985e0c
Publikováno v:
ICMR
Non-Maximum Suppression (NMS) is essential for object detection and affects the evaluation results by incorporating False Positives (FP) and False Negatives (FN), especially in crowd occlusion scenes. In this paper, we raise the problem of weak conne
Publikováno v:
Catalysis Communications, Vol 149, Iss, Pp 106252-(2021)
Constructing a hollow structured Ce-based catalyst is an effective way to result in an efficient catalytic system for the selective catalytic reduction of NOx using NH3 (NH3-SCR). A WO3@CeO2 catalyst with hollow structure was successfully developed u
Autor:
Xiatian Zhu, Philip H. S. Torr, Jianfeng Feng, Yabiao Wang, Yanwei Fu, Li Zhang, Sixiao Zheng, Tao Xiang, Hengshuang Zhao, Jiachen Lu, Zekun Luo
Publikováno v:
CVPR
Most recent semantic segmentation methods adopt a fully-convolutional network (FCN) with an encoder-decoder architecture. The encoder progressively reduces the spatial resolution and learns more abstract/semantic visual concepts with larger receptive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8db6b6fc519589629f7e1a5ffb5332a
http://arxiv.org/abs/2012.15840
http://arxiv.org/abs/2012.15840
Publikováno v:
2019 IEEE International Conference on Computational Electromagnetics (ICCEM).
Object detection for environment perception is one of the most critical steps for autonomous driving and driving assistant systems. Currently, considering the size of detection model, there is still a need for further improvement to satisfy the requi
Publikováno v:
SPML
Autonomous vehicles are widely accepted as one of the most potential technologies in alleviating traffic problems. In most existing autonomous vehicles for object detection and distance measurement, compared with radar or LIDAR which obviously increa
Autor:
Haibiao Lai, Fansu Meng, Yingjun Guo, Xiaoxun Huang, Bayi Liu, Junqian Chen, Qingqing Huang, Yong Liu, Yu Cai, Zekun Luo
Publikováno v:
Evidence-Based Complementary and Alternative Medicine, Vol 2018 (2018)
Xuefu Zhuyu Decoction (XFZYD), the classical recipe for promoting blood circulation by removing blood stasis, has been used in China for a long history clinically. XFZYD has been found to improve cardiac function through reducing inflammation. Howeve