Zobrazeno 1 - 10
of 1 035
pro vyhledávání: '"Wang Jiasheng"'
Publikováno v:
Сельскохозяйственные машины и технологии, Vol 13, Iss 4, Pp 38-41 (2019)
The seed metering device is the key working part of the peanut planter and is placed above the bottom of the seed box or above the opener. The essence of the seed metering process is the eff ect of the seed meter on the seed, converting the seed from
Externí odkaz:
https://doaj.org/article/1d136e4a0b354796aec0425ab4fa3135
Minifilament (MF) eruption producing small jets and micro-flares is regarded as an important source for coronal heating and the solar wind transients through studies mostly based on coronal observations in the extreme ultraviolet (EUV) and X-ray wave
Externí odkaz:
http://arxiv.org/abs/2402.08483
Autor:
Wang, Jiasheng
This paper presents a framework for learning player embeddings in competitive games and events. Players and their win-loss relationships are modeled as a skill gap graph, which is an undirected weighted graph. The player embeddings are learned from t
Externí odkaz:
http://arxiv.org/abs/2304.08257
Autor:
Wang, Jingyi1,2 (AUTHOR), Wang, Jiasheng1,2 (AUTHOR) jersonwang@ynnu.edu.cn, Xiong, Jianhong1,2 (AUTHOR) jersonwang@ynnu.edu.cn, Sun, Mengzhu1,2 (AUTHOR), Ma, Yongchao1,2 (AUTHOR)
Publikováno v:
PLoS ONE. 7/17/2024, Vol. 19 Issue 7, p1-17. 17p.
Autor:
Chen, Can, Wang, Jiasheng, Algeo, Thomas J., Zhu, Jian-Ming, Poulton, Simon W., Wang, Zhou, Cheng, Cong, Song, Qiang
Publikováno v:
In Chemical Geology 5 September 2024 662
Autor:
Zhang, Yi, Zhu, Qiuwen, Zhang, Xianzhu, Chen, Xuri, Wu, Zhonglin, Wang, Jiasheng, Quan, Cheng, Huang, Bowei, Zhang, Shufang, Hong, Yi, Ouyang, Hongwei
Publikováno v:
In Cell Reports Physical Science 17 July 2024 5(7)
Publikováno v:
In Optics and Laser Technology July 2024 174
Publikováno v:
In Bioelectrochemistry December 2024 160
Autor:
Ji, Xiaoqin, Zhou, Bin, Huang, Hua, Jiang, Wanrong, Wang, Jiasheng, Ding, Wei, Wang, Zhen, Sun, Xiangdong
Publikováno v:
In Journal of Geriatric Oncology November 2024 15(8)
Autor:
Jiang, Haodi, Jing, Ju, Wang, Jiasheng, Liu, Chang, Li, Qin, Xu, Yan, Wang, Jason T. L., Wang, Haimin
We present a new deep learning method, dubbed FibrilNet, for tracing chromospheric fibrils in Halpha images of solar observations. Our method consists of a data pre-processing component that prepares training data from a threshold-based tool, a deep
Externí odkaz:
http://arxiv.org/abs/2107.07886