中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共28条，第1-10条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1175-1189
作者:  Xiao Xue;  Xiangning Yu;  Deyu Zhou;  Xiao Wang;  Chongke Bi;  Shufang Wang;  Fei-Yue Wang
Adobe PDF(11890Kb)  |  收藏  |  浏览/下载：16/3  |  提交时间：2024/04/10
Artificial society  computational experiments  model integration  operation engine  technology integration  
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:  Xingxia Wang;  Jing Yang;  Yutong Wang;  Qinghai Miao;  Fei-Yue Wang;  Aijun Zhao;  Jian-Ling Deng;  Lingxi Li;  Xiaoxiang Na;  Ljubo Vlacic
Adobe PDF(15811Kb)  |  收藏  |  浏览/下载：98/23  |  提交时间：2023/07/20
ACP  artificial intelligence  CPS  CPSS  Industry 4.0  Industry 5.0  parallel industries  parallel intelligence  
GenAI4Sustainability: GPT and Its Potentials For Achieving UN’s Sustainable Development Goals 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2179-2182
作者:  Rui Wang;  Chaojie Li;  Xiangyu Li;  Rong Deng;  Zhaoyang Dong
Adobe PDF(2390Kb)  |  收藏  |  浏览/下载：37/13  |  提交时间：2023/10/31
Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 42-66
作者:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
Adobe PDF(2887Kb)  |  收藏  |  浏览/下载：473/334  |  提交时间：2023/01/03
Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892
作者:  Yangyang Li;  Chaoqun Fei;  Chuanqing Wang;  Hongming Shan;  Ruqian Lu
Adobe PDF(1815Kb)  |  收藏  |  浏览/下载：104/35  |  提交时间：2023/08/10
Curvature regularization  deep metric learning (DML)  embedding learning  geometry flow  riemannian metric  
A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：84/29  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
Multi-AUV Inspection for Process Monitoring of Underwater Oil Transportation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 828-830
作者:  Jingyi He;  Jiabao Wen;  Shuai Xiao;  Jiachen Yang
Adobe PDF(4206Kb)  |  收藏  |  浏览/下载：161/57  |  提交时间：2023/03/02
Tensor Distribution Regression Based on the 3D Conventional Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1628-1630
作者:  Lin Chen;  Xin Luo
Adobe PDF(769Kb)  |  收藏  |  浏览/下载：60/24  |  提交时间：2023/06/14
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：490/358  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载：186/107  |  提交时间：2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning