Zobrazeno 1 - 10
of 2 682
pro vyhledávání: '"Lu Zhe"'
To understand the relation between NH$_2$D and its physical environment, we mapped ortho-NH$_2$D $1_{11}^s-1_{01}^a$ at 85.9 GHz toward 24 Galactic late-stage massive star-forming regions with Institut de Radioastronomie Millim$ \'e$trique (IRAM) 30-
Externí odkaz:
http://arxiv.org/abs/2311.11534
Existing methods attempt to improve models' generalization ability on real-world hazy images by exploring well-designed training schemes (e.g., CycleGAN, prior loss). However, most of them need very complicated training procedures to achieve satisfac
Externí odkaz:
http://arxiv.org/abs/2309.17389
Recently, deep learning-based methods have dominated image dehazing domain. Although very competitive dehazing performance has been achieved with sophisticated models, effective solutions for extracting useful features are still under-explored. In ad
Externí odkaz:
http://arxiv.org/abs/2309.16494
This paper focuses on proposing a deep learning-based monkey swing counting algorithm. Nowadays, there are very few papers on monkey detection, and even fewer papers on monkey swing counting. This research focuses on this gap and attempts to count th
Externí odkaz:
http://arxiv.org/abs/2303.06567
Autor:
Carla Zeballos Torrez, Acarizia Easley, Hakim Bouamar, Guixi Zheng, Xiang Gu, Junhua Yang, Yu-Chiao Chiu, Yidong Chen, Glenn A. Halff, Francisco G. Cigarroa, Lu-Zhe Sun
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Six Transmembrane Epithelial Antigen of Prostate 2 (STEAP2) belongs to a family of metalloreductases, which indirectly aid in uptake of iron and copper ions. Its role in hepatocellular carcinoma (HCC) remains to be characterized. Here, we re
Externí odkaz:
https://doaj.org/article/06f30e39d0924192bb9c64cb274a9c44
Single image dehazing is a challenging ill-posed problem which estimates latent haze-free images from observed hazy images. Some existing deep learning based methods are devoted to improving the model performance via increasing the depth or width of
Externí odkaz:
http://arxiv.org/abs/2301.04805
Autor:
Zhang, Yuyanan1 (AUTHOR), Lu, Zhe1 (AUTHOR) luzhe@bjmu.edu.cn, Sun, Yaoyao1 (AUTHOR), Guo, Liangkun1 (AUTHOR), Zhang, Xiao1 (AUTHOR), Liao, Yundan1 (AUTHOR), Kang, Zhewei1 (AUTHOR), Feng, Xiaoyang1 (AUTHOR), Zhao, Guorui1 (AUTHOR), Sun, Junyuan1 (AUTHOR), Yang, Yang1 (AUTHOR), Yan, Hao1 (AUTHOR), Zhang, Dai1 (AUTHOR), Yue, Weihua1,2,3,4 (AUTHOR) dryue@bjmu.edu.cn
Publikováno v:
BMC Medicine. 9/13/2024, Vol. 22 Issue 1, p1-12. 12p.
Short-term traffic flow prediction is a vital branch of the Intelligent Traffic System (ITS) and plays an important role in traffic management. Graph convolution network (GCN) is widely used in traffic prediction models to better deal with the graphi
Externí odkaz:
http://arxiv.org/abs/2205.04762
Autor:
Manuel A. Riquelme, Xuewei Wang, Francisca M. Acosta, Jingruo Zhang, Jeffery Chavez, Sumin Gu, Peng Zhao, Wei Xiong, Ningyan Zhang, Guo Li, Saranya Srinivasan, Chaoyu Ma, Manjeet K. Rao, Lu-Zhe Sun, Nu Zhang, Zhiqiang An, Jean X. Jiang
Publikováno v:
Cell Reports, Vol 43, Iss 7, Pp 114377- (2024)
Summary: Bone tissue represents the most frequent site of cancer metastasis. We developed a hemichannel-activating antibody, Cx43-M2. Cx43-M2, directly targeting osteocytes in situ, activates osteocytic hemichannels and elevates extracellular ATP, th
Externí odkaz:
https://doaj.org/article/4756bc7168ea467aa3d390ca0185e247