CASIA OpenIR

浏览/检索结果: 共19条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Parameter Identification and Refinement for Parallel PCB Inspection in Cyber-Physical-Social Systems 期刊论文
IEEE Transactions on Computational Social Systems, 2023, 页码: 1-10
作者:  Yansong Cao;  Yutong Wang;  Jiangong Wang;  Yonglin Tian;  Xiao Wang;  Fei-Yue Wang
Adobe PDF(2150Kb)  |  收藏  |  浏览/下载:20/5  |  提交时间:2024/06/06
Imaging  Inspection  Image segmentation  Image quality  Hardware  Training  Software  Automated optical inspection (AOI)  parallel printed circuit board (PCB) inspection  parameter identification  parameter refinement  
Machine Learning in Lung Cancer Radiomics 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 753-782
作者:  Jiaqi Li;  Zhuofeng Li;  Lei Wei;  Xuegong Zhang
Adobe PDF(7595Kb)  |  收藏  |  浏览/下载:37/7  |  提交时间:2024/04/23
Machine learning, lung cancer, radiomics, medical image, clinical application  
FedFV: A Personalized Federated Learning Framework for Finger Vein Authentication 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 683-696
作者:  Feng-Zhao Lian;  Jun-Duan Huang;  Ji-Xin Liu;   Guang Chen;  Jun-Hong Zhao;  Wen-Xiong Kang
Adobe PDF(1789Kb)  |  收藏  |  浏览/下载:18/8  |  提交时间:2024/04/23
Finger vein, personalized federated learning, privacy protection, biometric, authentication  
Federated Learning on Multimodal Data: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 539-553
作者:  Yi-Ming Lin;   Yuan Gao;  Mao-Guo Gong;  Si-Jia Zhang;  Yuan-Qiao Zhang;  Zhi-Yuan Li
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载:18/7  |  提交时间:2024/04/23
Federated learning, multimodal learning, heterogeneous data, edge computing, collaborative learning  
A Survey on Collaborative DNN Inference for Edge Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 370-395
作者:  Wei-Qing Ren;  Yu-Ben Qu;  Chao Dong;  Yu-Qian Jing;  Hao Sun;  Qi-Hui Wu;  Song Guo
Adobe PDF(2969Kb)  |  收藏  |  浏览/下载:36/11  |  提交时间:2024/04/23
Artificial intelligence (AI), edge intelligence (EI), distributed computing, deep neural network (DNN), collaborative inference  
Pre-training in Medical Data: A Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 147-149
作者:  Yixuan Qiu;  Feng Lin;  Weitong Chen;  Miao Xu
Adobe PDF(2262Kb)  |  收藏  |  浏览/下载:36/9  |  提交时间:2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
CFSL: A Credible Federated Self-Learning Framework 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:  Zhang, Weishan;  Bao, Zhicheng;  Liu, Yuru;  Xu, Liang;  Lu, Qinghua;  Ning, Huansheng;  Wang, Xiao;  Yang, Su;  Wang, Fei-Yue;  Li, Zengxiang
收藏  |  浏览/下载:51/0  |  提交时间:2024/03/26
Federated learning  Data models  Training  Internet of Things  Blockchains  Adaptation models  Smart contracts  Blockchain  consensus  federated learning  personalization  self-learning  
Semi-asynchronous personalized federated learning for short-term photovoltaic power forecasting 期刊论文
DIGITAL COMMUNICATIONS AND NETWORKS, 2023, 卷号: 9, 期号: 5, 页码: 1221-1229
作者:  Zhang, Weishan;  Chen, Xiao;  He, Ke;  Chen, Leiming;  Xu, Liang;  Wang, Xiao;  Yang, Su
收藏  |  浏览/下载:54/0  |  提交时间:2024/02/22
Photovoltaic power forecasting  Federated learning  Edge computing  CNN-LSTM  
Steps Toward Industry 5.0: Building "6S" Parallel Industries With Cyber-Physical-Social Intelligence 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2023, 卷号: 10, 期号: 8, 页码: 1692-1703
作者:  Wang, Xingxia;  Yang, Jing;  Wang, Yutong;  Miao, Qinghai;  Wang, Fei-Yue;  Zhao, Aijun;  Deng, Jian-Ling;  Li, Lingxi;  Na, Xiaoxiang;  Vlacic, Ljubo
Adobe PDF(3058Kb)  |  收藏  |  浏览/下载:142/0  |  提交时间:2023/11/17
ACP  artificial intelligence  CPS  CPSS  Industry 4  0  Industry 5  parallel industries  parallel intelligence  
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:  Yuan, Ruiwen;  Wang, Junping
Adobe PDF(1944Kb)  |  收藏  |  浏览/下载:96/1  |  提交时间:2023/11/17
Feature extraction  Sensors  Human activity recognition  Internet of Things  Data models  Sensor phenomena and characterization  Data mining  Activity feature extraction  deep learning  human activity recognition (HAR)  semisupervised learning