机构

• 长春光学精密机械与物... [7]
• 自动化研究所 [6]
• 上海天文台 [4]
• 物理研究所 [1]
• 地理科学与资源研究所 [1]
• 成都山地灾害与环境研... [1]
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采集方式

• OAI收割 [23]
• iSwitch采集 [2]

内容类型

• 期刊论文 [13]
• 会议论文 [10]
• 学位论文 [2]

发表日期

• 2025 [2]
• 2023 [1]
• 2018 [1]
• 2016 [1]
• 2015 [3]
• 2013 [1]
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学科主题

• computer s... [1]
• computer s... [1]

筛选

浏览/检索结果: 共25条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Exploratory relationships between selected ground motion parameters and coseismic landslides: A case study of the 2017 Jiuzhaigou MW6.5 earthquake 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2025, 卷号: 354, 页码: 17 作者:  Wu, Chunhao;  Zhang, Yan;  Cui, Peng;  Romanelli, Fabio;  Peresan, Antonella   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Ground motion parameters  Ground motion vector group  Neo-deterministic Seismic Hazard Assessment (NDSHA)  Coseismic landslides  2017 Jiuzhaigou M(W)6.5 earthquake   Exploratory relationships between selected ground motion parameters and coseismic landslides: A case study of the 2017 Jiuzhaigou MW6.5 earthquake 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2025, 卷号: 354, 页码: 108208 作者:  Wu, Chunhao;  Zhang, Yan;  Cui, Peng   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/21 Ground motion parameters  Ground motion vector group  Neo-deterministic Seismic Hazard Assessment (NDSHA)  Coseismic landslides  2017 Jiuzhaigou M(W)6.5 earthquake   MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification 期刊论文  OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778 作者:     |  收藏  |  浏览/下载：78/0  |  提交时间：2024/03/26 Electroencephalography  Feature extraction  Task analysis  Support vector machines  Recording  Motion pictures  Brain modeling  EEG  biometric  across mental states  across time  deep learning  domain adaptation   A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals 期刊论文  OAI收割 JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY, 2018, 卷号: 42, 页码: 136-142 作者:  Wu, Haifeng;  Huang, Qing;  Wang, Daqing;  Gao, Lifu   |  收藏  |  浏览/下载：31/0  |  提交时间：2019/12/10 Convolutional neural network  Mechanomyography  Knee motion recognition  Support vector machine   Classifying Discriminative Features for Blur Detection 期刊论文  OAI收割 ieee transactions on cybernetics, 2016, 卷号: 46, 期号: 10, 页码: 2220-2227 作者:  Pang, Yanwei;  Zhu, Hailong;  Li, Xinyu;  Li, Xuelong 收藏  |  浏览/下载：51/0  |  提交时间：2016/11/02 Blur detection  classifier  feature extraction  motion blur  support vector machine (SVM)   A hybrid ar-emd-svr model for the short-term prediction of nonlinear and non-stationary ship motion 期刊论文  iSwitch采集 Journal of zhejiang university-science a, 2015, 卷号: 16, 期号: 7, 页码: 562-576 作者:  Duan, Wen-yang;  Huang, Li-min;  Han, Yang;  Zhang, Ya-hui;  Huang, Shuo 收藏  |  浏览/下载：65/0  |  提交时间：2019/05/09 Nonlinear and non-stationary ship motion  Short-term prediction  Empirical mode decomposition (emd)  Support vector regression (svr) model  Autoregressive (ar) model   Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression 期刊论文  OAI收割 NEURAL PROCESSING LETTERS, 2015, 卷号: 41, 期号: 3, 页码: 371-388 作者:  Li, Q. L.;  Song, Y.;  Hou, Z. G. 收藏  |  浏览/下载：40/0  |  提交时间：2015/09/21 sEMG  LS-SVR  Motion estimation  Neural network  Support vector machine  Rehabilitation   Motion intention estimation of lower limbs based on sEMG supplement with acceleration signal 会议论文  OAI收割 27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, May 23-25, 2015 作者:  Zhao XG(赵新刚);  Wang, Rui;  Ye D(叶丹) 收藏  |  浏览/下载：40/0  |  提交时间：2015/11/18 sEMG  Acceleration Signals  Motion Intention Estimation  Support Vector Machine (SVM)   Video steganalysis based on the constraints of motion vectors 会议论文  OAI收割 IEEE International Conference on Image Processing, Melbourne, Australia, Sep. 15-18, 2013 作者:  Xikai Xu;  Jing Dong;  Wei Wang;  Tieniu Tan;  Wang, Wei 收藏  |  浏览/下载：48/0  |  提交时间：2016/01/21 Video steganalysis  stegnography  data hiding  motion vector  mutual constraints   Efficient human action recognition using accumulated motion image and support vector machines (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Zhang X.;  Zhang J.;  Zhang J.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：84/0  |  提交时间：2013/03/25 Vision-based human action recognition provides an advanced interface  and research in this field of human action recognition has been actively carried out. This paper describes a scheme for recognizing human actions from a video sequences. The proposed method is an extension of the Motion History Image(MHI) method based on the ordinal measure of accumulated motion  which is robust to variations of appearances. We define the accumulated motion image(AMI) using image differences firstly. Then the AMI of the video sequencesis resized to a MN regulation following the standard of training phases. Finally  we employ Support Vector Machine(SVM) as a classifier to distinguish the current activity in target video sequences. In a word  our proposed algorithm not only outperforms the state of art on public available KTH data set and Weizmann data set  but also proves practical to some real world applications  in addition  this method is computationally simple and able to achieve a satisfactory accuracy.