Zobrazeno 1 - 10
of 299
pro vyhledávání: '"Nie Chang"'
Autor:
Song Yanling, Zhou Guangsheng, Guo Jianping, Pan Yaru, Yang Mengjiao, Tian Jinfeng, Li Xiangxue, Meng Xiangyi, Lan Huiting, Jiang Weiguang, Sui Dan, Zhou Lingyu, Shi Junchen, Nie Chang, Man Yi
Publikováno v:
应用气象学报, Vol 35, Iss 5, Pp 619-628 (2024)
Using data from Yushu Agricultural Meteorological Station of Jilin from 2018 to 2023, the impact of different sowing dates of corn is investigated focusing on its growth and yield composition as well as grain quality under global warming. It is also
Externí odkaz:
https://doaj.org/article/e61e773797924c64b04812c11163504f
Publikováno v:
Cailiao gongcheng, Vol 49, Iss 2, Pp 105-113 (2021)
In order to reveal the microstructure transformation mechanism of the process of depositing dissimilar material on the surface of mold steel containing Cr, the 316L stainless steel was deposited on two kinds of mold steel. The microstructure and hard
Externí odkaz:
https://doaj.org/article/8d10a90758b34b6691ffa70c3a33cb1d
Robust estimation is a crucial and still challenging task, which involves estimating model parameters in noisy environments. Although conventional sampling consensus-based algorithms sample several times to achieve robustness, these algorithms cannot
Externí odkaz:
http://arxiv.org/abs/2308.05318
Infrared small target detection (ISTD) has a wide range of applications in early warning, rescue, and guidance. However, CNN based deep learning methods are not effective at segmenting infrared small target (IRST) that it lack of clear contour and te
Externí odkaz:
http://arxiv.org/abs/2303.10321
As textual attributes like font are core design elements of document format and page style, automatic attributes recognition favor comprehensive practical applications. Existing approaches already yield satisfactory performance in differentiating dis
Externí odkaz:
http://arxiv.org/abs/2208.10180
Deep neural networks (DNNs) have delivered a remarkable performance in many tasks of computer vision. However, over-parameterized representations of popular architectures dramatically increase their computational complexity and storage costs, and hin
Externí odkaz:
http://arxiv.org/abs/2205.15198
This work studies the problem of high-dimensional data (referred to as tensors) completion from partially observed samplings. We consider that a tensor is a superposition of multiple low-rank components. In particular, each component can be represent
Externí odkaz:
http://arxiv.org/abs/2109.04022
Publikováno v:
In Journal of Power Sources 30 July 2024 609
Autor:
Wu, Sheng-Tao, Su, Hui-Qi, Shen, Kai-Lin, Li, Ying, Ge, Yi, Cheng, Xiu-Fang, Nie, Chang-Ming, Wang, Cong-Hui, Lin, Ying-Wu
Publikováno v:
In Chemical Engineering Journal 1 July 2024 491
Publikováno v:
In Geochimica et Cosmochimica Acta 1 May 2024 372:28-41