Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Changjiang, Xiao"'
Autor:
Changjiang XIAO, Jinming MA, Hongjun TAO, Qunfei ZHANG, Jianfeng CAO, Yuan LI, Shijie ZHOU, Yulin TANG, Yachao CHEN, Zhengxin LI, Qingyan DONG
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 2, Pp 193-198 (2024)
To improve the performance of PcBN composites prepared under high temperature and high pressure, mixed cBN particle sizes ranging from 0 to 0.5 μm and 0.5 to 1.0 μm were used as the raw material, Al-Ti-Al2O3 was used as the binder and the carbon na
Externí odkaz:
https://doaj.org/article/92f11c8aab63487a875c4c2ab8d59224
Autor:
Jinming MA, Changjiang XIAO, Hongjun TAO, Qunfei ZHANG, Lihui TANG, Jianfeng CAO, Yuan LI, Shijie ZHOU, Yulin TANG, Yachao CHEN, Zhengxin LI
Publikováno v:
Jin'gangshi yu moliao moju gongcheng, Vol 44, Iss 2, Pp 179-184 (2024)
The monolithic PcBN composite tool materials were prepared at 5.5 GPa and 1450 ℃ with different contents of Ti3AlC2 as the binder phase. The effects of different mass fractions of Ti3AlC2 on the phase composition, microstructure, and mechanical pro
Externí odkaz:
https://doaj.org/article/81c150b3d2d540b4a9ac5282c2d30ac7
Autor:
Min Huang, Daohong Gong, Li Zhang, Hui Lin, Yong Chen, Daoye Zhu, Changjiang Xiao, Orhan Altan
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
The continuous expansion and development of anthropogenic activities pose considerable threats to the habitats of myriad species. Therefore, exploring how to protect and optimize species’ habitats to achieve harmony between humans and nature is par
Externí odkaz:
https://doaj.org/article/1b7744717b6b40c395df21b605069b06
Autor:
Shurui Chen, Yongjiu Feng, Xiaohua Tong, Panli Tang, Qiquan Yang, Changjiang Xiao, Xiong Xu, Chao Wang, Yanmin Jin
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract Solar irradiance received at the lunar surface is crucial for interpreting brightness temperatures detected by orbiters and for understanding the thermal, physical, and dielectric properties of the lunar regolith. We developed a real‐time
Externí odkaz:
https://doaj.org/article/4314027cfc8c406dbf80de61acfe7b04
Autor:
Kehao Ouyang, Min Huang, Daohong Gong, Daoye Zhu, Hui Lin, Changjiang Xiao, Yewen Fan, Orhan Altan
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3008 (2024)
With global climate change and irrational human activities, regional water resource conflicts are becoming more and more pronounced. The availability of water resource in watersheds can be indicated by the water yield. Exploring the factors that infl
Externí odkaz:
https://doaj.org/article/b7f307a4a5a14951af177b1015bb5b4d
Autor:
Qiquan Yang, Yi Xu, Dawei Wen, Ting Hu, TC Chakraborty, Yue Liu, Rui Yao, Shurui Chen, Changjiang Xiao, Jie Yang
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 2, Pp n/a-n/a (2024)
Abstract Satellite‐based thermal infrared (TIR) land surface temperature (LST) is hindered by cloud cover and is applicable solely under clear‐sky conditions for estimating surface urban heat island intensity (SUHII). Clear‐sky SUHII may not ac
Externí odkaz:
https://doaj.org/article/4d2c49f4927244afbd220310cbe7aa0f
Autor:
Huaying, Wu, Hongchun, Hu, Yufeng, Liu, Liang, Li, Jing, Li, Yuming, Han, Changjiang, Xiao, Qinghua, Peng
Publikováno v:
In Digital Chinese Medicine December 2023 6(4):451-466
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 10570-10581 (2022)
Estimates of electricity consumption (EC) can provide effective guidance for energy allocation and energy-saving measures. For improving the accuracy of short-mid term EC forecasting, a novel nonintrusive attention-augmented deep learning model is pr
Externí odkaz:
https://doaj.org/article/3b80a7280fd84765aaa7ac03e693ca50
Autor:
Xiong Xu, Beibei Zhao, Xiaohua Tong, Huan Xie, Yongjiu Feng, Chao Wang, Changjiang Xiao, Xiaoxue Ke, Jinhuan Du
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8484-8491 (2022)
Solid waste detection is of great significance for environmental protection. In recent years, object detection methods based on deep learning have progressed rapidly. However, it is often extremely difficult to collect sufficient data to train a mode
Externí odkaz:
https://doaj.org/article/3d0eab98106f4e498a4e77a440b2f610
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6766-6780 (2022)
Impervious surfaces caused by rapid urbanization affect the environment and increase the disaster risk. Currently, most articles have extracted impervious surfaces by manual participation for training samples with medium-and-high spatial resolution r
Externí odkaz:
https://doaj.org/article/e288d5264e724ad0a363f191c50eb10e