中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共9条，第1-9条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
A Streamlined 3-D Magnetic Particle Imaging System With a Two-Stage Excitation Feed-Through Compensation Strategy 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 1-10
作者:  Yin L(尹琳);  Li W(李玮);  Bian ZW(卞忠伟);  Chen ZW(陈梓威);  Liu YJ(刘晏君);  Zhong J(钟景);  Zhang SX(张水兴);  Du Y(杜洋);  Hui H(惠辉);  Tian J(田捷)
Adobe PDF(3893Kb)  |  收藏  |  浏览/下载：64/29  |  提交时间：2024/03/26
3-D imaging  compensation strategy  magnetic particle imaging (MPI)  
General vs. Long-Tailed Age Estimation: An Approach to Kill Two Birds With One Stone 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 6155-6167
作者:  Bao, Zenghao;  Tan, Zichang;  Li, Jun;  Wan, Jun;  Ma, Xibo;  Lei, Zhen
Adobe PDF(1634Kb)  |  收藏  |  浏览/下载：53/2  |  提交时间：2024/02/22
General age estimation  long-tailed age estimation  class-wise mean absolute error  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载：69/8  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
Delivery of pollen to forsythia flower pistils autonomously and precisely using a robot arm 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 214, 页码: 13
作者:  Yang, Minghao;  Lyu, Hongchang;  Zhao, Yongjia;  Sun, Yangchang;  Pan, Hang;  Sun, Qi;  Chen, Jinlong;  Qiang, Baohua;  Yang, Hongbo
Adobe PDF(10694Kb)  |  收藏  |  浏览/下载：157/3  |  提交时间：2023/12/21
Pollination robot  Flower detection  Pistil identification  Convolutional neural network (CNN)  
Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：122/6  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：124/19  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature  
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 9, 页码: 4616-4629
作者:  Ma, Chengcheng;  Liu, Yang;  Deng, Jiankang;  Xie, Lingxi;  Dong, Weiming;  Xu, Changsheng
Adobe PDF(1644Kb)  |  收藏  |  浏览/下载：156/21  |  提交时间：2023/11/16
Vision-language model  prompt tuning  over-fitting  subspace learning  gradient projection  
Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11
作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie;  Hui, Hui
Adobe PDF(6341Kb)  |  收藏  |  浏览/下载：185/14  |  提交时间：2023/11/16
Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework  
A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载：382/80  |  提交时间：2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots