Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Bingchao Wang"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 19 (2022)
This article proposed a simple and efficient method for relative localization of swarm robotics. Firstly, the relative localization module of the micro-robot is designed to be composed of a compass and several pairs of infrared transceiver sensors ev
Externí odkaz:
https://doaj.org/article/0258bec9dd4b4183a3ac8458c8c4967d
Autor:
Ruhan Sun, Qin Wang, Zhenyu Huang, Mengting Zhan, Zhangchun Zhao, Bingchao Wang, Mengge Guo, Le Yuan, Zechao Shi, Gang Ouyang, Wei Ji
Publikováno v:
Viruses, Vol 14, Iss 12, p 2663 (2022)
A teleost’s kidney was divided into head kidney and trunk kidney. The head kidney is an important lymphatic organ, while the trunk kidney mainly performs osmotic pressure regulation and excretion functions. Previous studies have shown that the tele
Externí odkaz:
https://doaj.org/article/e45d31e53a934dfcb59d3d569494babf
Publikováno v:
Environmental Research Letters, Vol 17, Iss 4, p 044033 (2022)
The sea surface temperature inter-hemispheric dipole (SSTID) is an important variability mode of global SST anomalies, characterized by an anti-phase variation of SST between the two hemispheres. In this study, the decadal variation of the northern h
Externí odkaz:
https://doaj.org/article/cbec9b95924f46c09ce491ab5f4f2625
Autor:
Bingchao Wang, Fangzheng Zhu, Zechao Shi, Zhenyu Huang, Ruhan Sun, Qingchao Wang, Gang Ouyang, Wei Ji
Publikováno v:
Fish & Shellfish Immunology. 125:90-100
The major histocompatibility complex (MHC) is an important component of the immune system of vertebrates, which plays a vital role in presenting extrinsic antigens. In this study, we cloned and characterized the mhc ⅡA and mhc ⅡB genes of yellow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d1f8ead422066b73d4f45a3dec8d802
https://doi.org/10.1016/j.fsi.2022.04.036
https://doi.org/10.1016/j.fsi.2022.04.036
The sea surface temperature inter-hemispheric dipole (SSTID) is an important variability mode of global SST anomalies, characterized by an anti-phase variation of SST between the two hemispheres. In this study, the decadal variation of the Northern H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7afe7d9d263f835741db5561d5f1df0
https://doi.org/10.5194/egusphere-egu23-3429
https://doi.org/10.5194/egusphere-egu23-3429
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3a1699315973d78539ee048a7872861
https://doi.org/10.1007/978-3-031-30637-2_39
https://doi.org/10.1007/978-3-031-30637-2_39
Autor:
Zhangchun Zhao, Sixue Liu, Chen Wu, Qin Wang, Yaqian Zhang, Bingchao Wang, Long Wang, Ruhan Sun, Mengge Guo, Wei Ji
Publikováno v:
Gene. 872:147450
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852258762a095972873c5d113de2581c
https://doi.org/10.1016/j.gene.2023.147450
https://doi.org/10.1016/j.gene.2023.147450
Autor:
Yujie Yuan, Zechao Shi, Qin Wang, Mengge Guo, Le Yuan, Zhangchun Zhao, Sixue Liu, Chen Wu, Ruhan Sun, Bingchao Wang, Gang Ouyang, Wei Ji
Publikováno v:
Fish & Shellfish Immunology. 137:108712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::853e90cdd1cd588603cd413e8e89af99
https://doi.org/10.1016/j.fsi.2023.108712
https://doi.org/10.1016/j.fsi.2023.108712
Autor:
Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
Although existing machine reading comprehension models are making rapid progress on many datasets, they are far from robust. In this paper, we propose an understanding-oriented machine reading comprehension model to address three kinds of robustness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b45effd8504529b8600df53e9546070
Publikováno v:
Journal of Physics: Conference Series. 2216:012078
In recent years, research on the federated spiking neural network (SNN) framework has attracted increasing attention in the area of on-chip learning for embedded devices, because of its advantages of low power consumption and privacy security. Most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b26e3a57629b2cfc457cb6d6850982b
https://doi.org/10.1088/1742-6596/2216/1/012078
https://doi.org/10.1088/1742-6596/2216/1/012078