机构

• 金属研究所 [4]
• 自动化研究所 [4]
• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 上海神经科学研究所 [1]
• 新疆理化技术研究所 [1]
• 更多

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [11]
• 会议论文 [2]
• 学位论文 [2]

发表日期

• 2022 [1]
• 2021 [2]
• 2020 [1]
• 2018 [1]
• 2017 [1]
• 2016 [1]
• 更多

学科主题

• Neuroscien... [1]
• 网络心理学 [1]

筛选

浏览/检索结果: 共15条，第1-10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 Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17 作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/09/19 Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior   Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 6, 页码: 3285-3302 作者:  Song, Xiao;  Chen, Kai;  Li, Xu;  Sun, Jinghan;  Hou, Baocun   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/08/15 Trajectory  Predictive models  Neural networks  Force  Mathematical model  Feature extraction  Tensors  Pedestrian behavior  convolution  long short-term memory  neural network   Room temperature tensile deformation behavior of a Ni-based superalloy with high W content 期刊论文  OAI收割 CHINA FOUNDRY, 2021, 卷号: 18, 期号: 3, 页码: 192-198 作者:  Shu, De-long;  Xie, Jun;  Zhang, Feng-jiang;  Hou, Gui-chen;  Wang, Zhen-jiang   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/10/15 Ni-based superalloy  high W content  microstructure  tensile behavior  deformation feature  TG146  1(+)5  A   Prediction of Drug-Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model 期刊论文  OAI收割 FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 期号: 6, 页码: 1-9 作者:  Chen, ZH (Chen, Zhan-Heng)[ 1,2 ];  You, ZH (You, Zhu-Hong)[ 1,2 ];  Guo, ZH (Guo, Zhen-Hao)[ 1,2 ];  Yi, HC (Yi, Hai-Cheng)[ 1,2 ];  Luo, GX (Luo, Gong-Xu)[ 1,2 ]   |  收藏  |  浏览/下载：35/0  |  提交时间：2020/09/09 drug-target interactions  molecular association network  attribute feature  behavior feature  random forest   Perceptually Aware Image Retargeting for Mobile Devices 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 5, 页码: 2301-2313 作者:  Zhou, Yinzuo;  Zhang, Luming;  Zhang, Chao;  Li, Ping;  Li, Xuelong   |  收藏  |  浏览/下载：39/0  |  提交时间：2018/12/11 Mobile Platform  Retarget  Perceptual  Gaze Behavior  Deep Feature  Probabilistic Model   Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 3, 页码: 635-648 作者:  Zhang, Yanhao;  Qin, Lei;  Ji, Rongrong;  Zhao, Sicheng;  Huang, Qingming   |  收藏  |  浏览/下载：31/0  |  提交时间：2019/12/12 Coherent motion pattern  crowd behavior analysis  emotional motion feature  structured trajectory learning (STL)   Deep learning for constructing microblog behavior representation to identify social media user’s personality 期刊论文  OAI收割 PeerJ Computer Science, 2016, 期号: 2, 页码: e81 作者:  Xiaoqian Liu;  Tingshao Zhu 收藏  |  浏览/下载：31/0  |  提交时间：2017/01/16 Personality prediction  Social media behavior  Deep learning  Feature learning   INFLUENCE OF TEMPERATURE ON TENSILE BEHAVIORS OF K416B Ni-BASED SUPERALLOY WITH HIGH W CONTENT 期刊论文  OAI收割 ACTA METALLURGICA SINICA, 2015, 卷号: 51, 期号: 8, 页码: 943-950 作者:  Xie Jun;  Yu Jinjiang;  Sun Xiaofeng;  Jin Tao;  Yang Yanhong   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/02/02 K416B Ni-based superalloy  tensile behavior  deformation feature  fracture mechanism   INFLUENCE OF TEMPERATURE ON TENSILE BEHAVIORS OF K416B Ni-BASED SUPERALLOY WITH HIGH W CONTENT 期刊论文  OAI收割 ACTA METALLURGICA SINICA, 2015, 卷号: 51, 期号: 8, 页码: 943-950 作者:  Xie Jun;  Yu Jinjiang;  Sun Xiaofeng;  Jin Tao;  Yang Yanhong   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/02/02 K416B Ni-based superalloy  tensile behavior  deformation feature  fracture mechanism   Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (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:  Li Y.;  Li Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 Crowd panic behavior detection is an important task in video analysis and event recognition  whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper  the crowd is regard as a fluid  and the crowd motion is described by four fluid kinematic features (divergence  vorticity  gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior  an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.