|
|
|
Xinyu Hu, Ximing Shen, Yi Shi, Chen Li and Wei Zhu
|
|
|
|
|
|
|
Pengyun Chen, Zhiru Li, Guangqing Liu, Ziyi Wang, Jiayu Chen, Shangyao Shi, Jian Shen and Lizhou Li
The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (P...
ver más
|
|
|
|
|
|
|
Kangkang Shi, Dongsheng Li, Dongsen Hu, Qi Shen and Guoyong Jin
The acoustic absorption characteristics of anechoic coatings attached to the surface of underwater vehicles are closely related to their acoustic stealth. Owing to the essential property of local resonance, the narrow sound-absorption band cannot meet th...
ver más
|
|
|
|
|
|
|
Lisong Shi, E Fan, Hua Shen, Chih-Yung Wen, Shuai Shang and Hongbo Hu
A three-dimensional upwind conservation element and solution element method (CESE) in cylindrical coordinates is first developed to effectively solve the unsteady reactive Euler equations governing a hydrogen?air rotating detonation engine (RDE) with coa...
ver más
|
|
|
|
|
|
|
Binhao Liu, Shengxiao Wang, Pengcheng Dong, Xinzhe Zhang, Long Zhang, Chen Chen, Xihui Xu, Yan Xia, Zhenguo Shen, Liang Shi and Yahua Chen
The retention of copper (Cu) in saline?alkali soil (SAS) during long-term application of biogas residue (BR) with a high concentration of Cu raises concerns. In this work, the fate of Cu was detected using adsorption isotherms, scanning electron microsco...
ver más
|
|
|
|
|
|
|
Xiaoqi Shen, Wenzhong Shi, Zhewei Liu, Anshu Zhang, Lukang Wang and Fanxin Zeng
Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research propo...
ver más
|
|
|
|
|
|
|
Yu Ge, Junjun Shi, Yaohui Li and Jingfang Shen
Kriging-based modeling has been widely used in computationally intensive simulations. However, the Kriging modeling of high-dimensional problems not only takes more time, but also leads to the failure of model construction. To this end, a Kriging modelin...
ver más
|
|
|
|
|
|
|
Guoqiang Zhou, Yi Fan, Jiachen Shi, Yuyuan Lu and Jun Shen
Generative Adversarial Network (GAN), deemed as a powerful deep-learning-based silver bullet for intelligent data generation, has been widely used in multi-disciplines. Furthermore, conditional GAN (CGAN) introduces artificial control information on the ...
ver más
|
|
|
|
|
|
|
Guoqiang Zhou, Lijun Yang, Wenzhen Liu, Jiachen Shi and Jun Shen
In order to solve the education problems caused by teachers and students? unavoidable absence in school during the COVID-19 pandemic, a series of online education activities were carried out by Nanjing University of Posts and Telecommunication in early M...
ver más
|
|
|
|
|
|
|
Li Ma, Zhengzhong Luo, Jiubing Chen, Zhenlong Du, Tao Zhou, Yixin Huang, Xueping Yao, Liuhong Shen, Shumin Yu, Xiaodong Shi and Suizhong Cao
The effect of the Astragalus membranaceus root (AMR) on the serum metabolic profiles of preweaning calf were investigated in this study. Sixteen preweaning Holstein calves were randomly allocated into two groups with eight calves per group, and offered a...
ver más
|
|
|
|