中国科学院机构知识库网格系统: 检索

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	Tracking the Immediate and Short-Term Effects of Continuous Theta Burst Stimulation on Dynamic Brain States 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 卷号: 32, 页码: 1386-1396 作者: Chen, Chao; Guo, Zhidong; Peng, Weiwei; Wang, Shengpei; Qiu, Shuang \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2024/07/03 Electroencephalography Hidden Markov models Motors Brain Functional magnetic resonance imaging Automation Protocols Continuous theta burst stimulation resting-state EEG hidden Markov model brain state
	Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder 期刊论文 OAI收割 MOLECULAR NEUROBIOLOGY, 2020, 页码: 14 作者: Wang, Shengpei; Wen, Hongwei; Hu, Xiaopeng; Xie, Peng; Qiu, Shuang \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2020/08/03 Resting-state fMRI Major depressive disorder (MDD) Hidden Markov model (HMM) Brain network dynamic Transition probability
	Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 1, 页码: 25 作者: Shen, Wenjuan; Mao, Xupeng; He, Jiaying; Dong, Jinwei; Huang, Chengquan \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/05/19 urban forest cover cellular automation-Markov chain model state-and-transition simulation modeling spatiotemporal resolution forest area density forest interior
	Simulating the Peptide Folding Kinetic Related Spectra Based on the Markov State Model 期刊论文 OAI收割 protein conformational dynamics, 2014, 卷号: 805, 页码: 199-220 作者: Song, Jian; Zhuang, Wei; Han, KL; Zhang, X; Yang, MJ 收藏 \| 浏览/下载：20/0 \| 提交时间：2015/11/17 Protein folding/unfolding Markov state model Folding intermediates Two dimensional infrared spectroscopy Fluorescence spectroscopy
	Evolution analysis of the states of the EZ model 期刊论文 OAI收割 CHINESE PHYSICS B, 2009, 卷号: 18, 期号: 4, 页码: 1700-1706 作者: Chen Qing-Hua; Ding Yi-Ming; Dong Hong-Guang 收藏 \| 浏览/下载：21/0 \| 提交时间：2015/06/26 EZ model Markov chain stationary distribution equilibrium state
	CR image filter methods research based on wavelet-domain hidden markov models (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang J.-L.; Wang J.-L.; Li D.-Y.; Wang Y.-P. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 In the procedure of computed radiography imaging we should firstly get across the characters of kinds of noises and the relationship between the image signals and noises. Based on the specialties of computed radiography (CR) images and medical image processing we have study the filtering methods for computed radiography images noises. On the base of analyzing computed radiography imaging system in detail the author think that the major two noises are Gaussian white noise and Poisson noise. Then the different relationship of between two kinds of noises and signal were studied completely. By considering both the characteristics of computed radiography images and the statistical features of wavelet transformed images a multiscale image filtering algorithm which based on two-state hidden markov model (HMM) and mixture Gaussian statistical model has been used to decrease the Gaussian white noise in computed images. By using EM (Expectation Maximization) algorithm to estimate noise coefficients in each scale and obtain power spectrum matrix then this carried through the syncretized two Filter that are IIR(infinite impulse response) Wiener Filter and HMM according to scale size and achieve the experiments as well as the comparison with other denoising methods were presented at last.
	Countable-state-space Markov chains with two time scales and applications to queueing systems 期刊论文 OAI收割 ADVANCES IN APPLIED PROBABILITY, 2002, 卷号: 34, 期号: 3, 页码: 662-688 作者: Yin, G; Zhang, HQ \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2018/07/30 Markov chain singular perturbation countable state space asymptotic expansion occupation measure functional central limit theorem M(t)/M(t)/1 queue fluid model