Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Jing Zhao Li"'
Autor:
Xue-Jie Zhao, Yu-Fang Wu, Kuan Jiang, Te Xu, Chang-Qing Jing, Nian-Ting Xue, Xiao-Wu Lei, Zhihong Jing, Jing-Zhao Li
Publikováno v:
CrystEngComm. 23:292-298
Recently, low-dimensional organic–inorganic hybrid metal halides have attracted considerable attention in solid-state optical application fields, especially in white-light emitting diodes (WLEDs) owing to intrinsic broadband luminescence performanc
Publikováno v:
Journal of Magnetics. 25:43-47
Autor:
Yun Yuan, Wen-Xin Chu, Hui-Fang Zhao, Ya-Hui Guo, Xiao-Wu Lei, Hang-Xin Che, Jing-Zhao Li, Zhi-Hong Jing, Cheng-Yang Yue, Hao Jiang
Publikováno v:
Crystal Growth & Design. 19:4564-4570
Visible light driven photocatalysts based on crystalline metal halides received much less attention compared with dense or composite oxide semiconductors due to low photochemical stabilities. Here,...
Autor:
Kuan Jiang, Chen Sun, Sha-Sha Han, Jing-Zhao Li, Ya-Hui Guo, Xiao-Wu Lei, Qi-Long Liu, Lin-Feng Dong, Cheng-Yang Yue
Publikováno v:
Angewandte Chemie.
Considering the instability and low photoluminescence quantum yield (PLQY) of blue-emitting perovskites, it is still challenging and attractive to construct single crystalline hybrid lead halides with highly stable and efficient blue light emission.
Publikováno v:
International Journal of Automation and Computing. 16:329-340
The H∞ state estimation problem for a class of stochastic neural networks with Markovian jumping parameters and leakage delay is investigated in this paper. By employing a suitable Lyapunov functional and inequality technic, the sufficient conditio
Autor:
Jing Zhao Li, Ya Jun Li
Publikováno v:
Applied Mechanics and Materials. 742:399-403
This paper investigates the exponential stability problem for a class of stochastic neural networks with leakage delay. By employing a suitable Lyapunov functional and stochastic stability theory technic, the sufficient conditions which make the stoc
Publikováno v:
Advanced Materials Research. :541-544
A number of privacy preserving techniques have been proposed recently in data mining. In this paper, we provide a review of the state-of-the-art methods for privacy preserving data mining. and discuss methods for randomization, secure multipart compu
Autor:
Jing Zhao Li, Hui Mei Deng
Publikováno v:
Applied Mechanics and Materials. 252:207-210
The framework of initiative coal mining system based on the perception layer of Internet of things (IOT), took the way of combination initiative acquisition, with timing and real time to implement “people, ring, and material” perception of the un
Autor:
Wen Dond Xu, Jing Zhao Li
Publikováno v:
Applied Mechanics and Materials. :2491-2494
Using MATLAB the spectrum comparative analysis was gived between complex Cole-Cole model and basic Cole-Cole model when theirs parameters change. The results show that the complex resistivity curve shape of complex model is limitted by total variatio
Publikováno v:
Advanced Materials Research. :1343-1346
Unsupervised Discriminant Projection (UDP) is one of the most promising feature extraction methods. However, UDP suffers from the small sample size problem and the optimal basis vectors obtained by the UDP are nonorthogonal. In this paper, we present