机构

• 理论物理研究所 [1]
• 长春光学精密机械与物... [1]
• 高能物理研究所 [1]
• 中国科学院大学 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [4]
• iSwitch采集 [1]

内容类型

• 期刊论文 [4]
• 会议论文 [1]

发表日期

• 2023 [2]
• 2021 [1]
• 2008 [1]
• 2006 [1]

学科主题

• Mathematic... [1]
• Neuroscien... [1]

筛选

浏览/检索结果: 共5条，第1-5条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Cuff-Less Blood Pressure Prediction Based on Photoplethysmography and Modified ResNet 期刊论文  OAI收割 BIOENGINEERING-BASEL, 2023, 卷号: 10, 期号: 4, 页码: 14 作者:  Qin, Caijie;  Li, Yong;  Liu, Chibiao;  Ma, Xibo   |  收藏  |  浏览/下载：12/0  |  提交时间：2023/11/17 blood pressure  continuous prediction  ResNet34  multi-scale feature extraction  channel attention   A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells 期刊论文  OAI收割 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2023, 卷号: 17, 页码: 1053097 作者:  Gao, Yuanxiang   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/12/07 CONTINUOUS ATTRACTOR NETWORKS  TEMPORAL DIFFERENCE  PATH-INTEGRATION  SYNAPTIC PLASTICITY  HIPPOCAMPAL  DOPAMINE  REWARD  REPRESENTATIONS  MAPS  PREDICTION   Periodicity Search on X-Ray Bursts of SGR J1935+2154 Using 8.5 yr of Fermi/GBM Data 期刊论文  OAI收割 The Astrophysical Journal, 2021, 卷号: 923, 页码: L30 作者:  HXMT   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/02/08 2008  1471  Astrophysics - High Energy Astrophysical Phenomena  Abstract: We performed a systematic search for X-ray bursts of the SGR J1935+2154 using the Fermi Gamma-ray Burst Monitor continuous data dated from 2013 January to 2021 October. Eight bursting phases, which consist of a total of 353 individual bursts, are identified. We further analyze the periodic properties of our sample using the Lomb-Scargle periodogram. The result suggests that those bursts exhibit a period of ~238 days with a ~63.2% duty cycle. Based on our analysis, we further predict two upcoming active windows of the X-ray bursts. Since 2021 July, the beginning date of our first prediction has been confirmed by the ongoing X-ray activities of the SGR J1935+2154.   Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文  OAI收割 International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China Meng B.; Zhu M. 收藏  |  浏览/下载：25/0  |  提交时间：2013/03/25 The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.   Spatial prediction of heavy metal pollution for soils in peri-urban beijing, china based on fuzzy set theory 期刊论文  iSwitch采集 Pedosphere, 2006, 卷号: 16, 期号: 5, 页码: 545-554 作者:  Tan Man-Zhi;  Xu Fang-Ming;  Chen Jie;  Zhang Xue-Lei;  Chen Jing-Zhong 收藏  |  浏览/下载：40/0  |  提交时间：2019/05/10 Continuous classification  Fuzzy c-means  Heavy metal  Soil pollution  Spatial prediction