中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共31条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Driving EEG based multilayer dynamic brain network analysis for steering process 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 207, 页码: 17
作者:  Chang, Wenwen;  Meng, Weiliang;  Yan, Guanghui;  Zhang, Bingtao;  Luo, Hao;  Gao, Rui;  Yang, Zhifei
Adobe PDF(13070Kb)  |  收藏  |  浏览/下载：325/79  |  提交时间：2022/09/19
Multi -layer Networks  Functional Connectivity  Electroencephalogram (EEG)  Driving Intention  Feature Extraction  Driving Behavior  
Brainnetome atlas of preadolescent children based on anatomical connectivity profiles 期刊论文
CEREBRAL CORTEX, 2022, 页码: 12
作者:  Li, Wen;  Fan, Lingzhong;  Shi, Weiyang;  Lu, Yuheng;  Li, Jin;  Luo, Na;  Wang, Haiyan;  Chu, Congying;  Ma, Liang;  Song, Ming;  Li, Kaixin;  Cheng, Luqi;  Cao, Long;  Jiang, Tianzi
Adobe PDF(1764Kb)  |  收藏  |  浏览/下载：340/66  |  提交时间：2022/11/14
anatomical connectivity  Brainnetome atlas  development  diffusion magnetic resonance imaging  preadolescent child  
Performance Improvement of a High-Speed Swimming Robot for Fish-Like Leaping 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1936-1943
作者:  Chen, Di;  Wu, Zhengxing;  Zhang, Pengfei;  Tan, Min;  Yu, Junzhi
Adobe PDF(2838Kb)  |  收藏  |  浏览/下载：328/62  |  提交时间：2022/06/06
Biologically-inspired robots  mechanism design  compliant joints and mechanisms  high-speed swimming  fish-like leaping motion  
Toward a Novel Robotic Manta With Unique Pectoral Fins 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 3, 页码: 1663-1673
作者:  Meng, Yan;  Wu, Zhengxing;  Dong, Huijie;  Wang, Jian;  Yu, Junzhi
Adobe PDF(2092Kb)  |  收藏  |  浏览/下载：384/74  |  提交时间：2022/06/06
Dynamic model  pectoral fins  robotic manta  spatial maneuverability  underwater robotics  
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2022, 卷号: 21, 期号: 2, 页码: 19
作者:  Bai, Guirong;  He, Shizhu;  Liu, Kang;  Zhao, Jun
Adobe PDF(4097Kb)  |  收藏  |  浏览/下载：255/52  |  提交时间：2022/06/10
Sentence matching  active learning  pre-trained language model  
Human Parsing With Part-Aware Relation Modeling 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 25, 页码: 2601-2612
作者:  Zhang, Xiaomei;  Chen, Yingying;  Tang, Ming;  Wang, Jinqiao;  Zhu, Xiangyu;  Lei, Zhen
Adobe PDF(6053Kb)  |  收藏  |  浏览/下载：102/6  |  提交时间：2023/11/17
Human parsing  modeling  part-aware relation  
Generalized zero-shot emotion recognition from body gestures 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 19
作者:  Wu, Jinting;  Zhang, Yujia;  Sun, Shiying;  Li, Qianzhong;  Zhao, Xiaoguang
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：282/55  |  提交时间：2021/12/28
Generalized zero-shot learning  Emotion recognition  Body gesture recognition  Prototype learning  
3-D Path Planning With Multiple Motions for a Gliding Robotic Dolphin 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2904-2915
作者:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(2493Kb)  |  收藏  |  浏览/下载：385/65  |  提交时间：2021/05/31
Dolphins  Path planning  Robot kinematics  Dynamics  Task analysis  Heuristic algorithms  Astar (A*) algorithm  dynamic modeling  gliding robotic dolphin  path planning  segmented Bezier curve  
Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer 期刊论文
BMC Medical Imaging, 2021, 卷号: 21, 期号: 1, 页码: 10
作者:  Wang,Xiaoxiao;  Li,Cong;  Fang,Mengjie;  Zhang,Liwen;  Zhong,Lianzhen;  Dong,Di;  Tian,Jie;  Shan,Xiuhong
Adobe PDF(2269Kb)  |  收藏  |  浏览/下载：369/56  |  提交时间：2021/04/06
Stomach cancer  Lymph nodes  Nomogram  
Neural network-based model predictive tracking control of an uncertain robotic manipulator with input constraints 期刊论文
ISA TRANSACTIONS, 2021, 卷号: 109, 页码: 89-101
作者:  Kang, Erlong;  Qiao, Hong;  Gao, Jie;  Yang, Wenjing
Adobe PDF(942Kb)  |  收藏  |  浏览/下载：343/64  |  提交时间：2021/03/29
Model predictive control  Neural network  Robotic manipulator  Unknown dynamics  Online learning estimation  Input constraints