Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Guandong Chen"'
Autor:
Guanyi Chen, Guandong Chen, Jingwei Li, Queyi Pan, Daolun Liang, Jie Qiu, Xiqiang Zhao, Xiaojia Wang, Zhongshan Li, Xiangping Li, Xiaoling Ma, Shuang Wu, Yunan Sun
Publikováno v:
Green Energy and Resources, Vol 2, Iss 3, Pp 100086- (2024)
The co-disposal of solid waste by industrial kilns is presently attracting increasing attention. In this study, we investigate the co-disposal of solid waste, i.e. converter ash (CA), sintered ash (SA), blast furnace bag ash (BA), and municipal solid
Externí odkaz:
https://doaj.org/article/d2b50985eb5b458eba3f68ffe35466a3
Autor:
Ying Wang, Yonghui Zhang, Hongjun Tian, Min Chen, Guandong Chen, Deguo Jiang, Ce Chen, Gongying Li, Chuanjun Zhuo, Jianjing Zhang, Haoran Chen
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 31, Iss 3, Pp 269-279 (2021)
Externí odkaz:
https://doaj.org/article/130ad103816b4ffab41b96be2b14b97f
Publikováno v:
Sensors, Vol 20, Iss 20, p 5820 (2020)
Positron emission tomography (PET) has a wide range of applications in the treatment and prevention of major diseases owing to its high sensitivity and excellent resolution. However, there is still much room for optimization in the readout circuit an
Externí odkaz:
https://doaj.org/article/f2690efbcf314bc1bf8d7e0844c5eee3
Publikováno v:
Applied Sciences, Vol 7, Iss 10, p 968 (2017)
Polarimetric synthetic aperture radar (SAR) remote sensing provides an outstanding tool in oil spill detection and classification, for its advantages in distinguishing mineral oil and biogenic lookalikes. Various features can be extracted from polari
Externí odkaz:
https://doaj.org/article/4eacd10fabbc462fa15537666bf159f2
Autor:
Min Chen, Haoran Chen, Ying Wang, Yonghui Zhang, Deguo Jiang, Ce Chen, Gongying Li, Hongjun Tian, Jianjing Zhang, Chuanjun Zhuo, Guandong Chen
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 31, Iss 3, Pp 269-279 (2021)
Publikováno v:
2017 IEEE International Conference on Imaging Systems and Techniques (IST).
Polarimetric SAR remote sensing provides an outstanding capability of oil spill detection and classification for its advantages in distinguishing mineral oil and biogenic look-alikes. In this paper, deep learning algorithms including Stacked Auto-Enc