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Deep unfolding multi-scale regularizer network for image denoising 期刊论文
COMPUTATIONAL VISUAL MEDIA, 2023, 卷号: 9, 期号: 2, 页码: 335-350
Authors:  Xu, Jingzhao;  Yuan, Mengke;  Yan, Dong-Ming;  Wu, Tieru
Favorite  |  View/Download：19/0  |  Submit date：2023/02/22
image denoising  deep unfolding network  multi-scale regularizer  deep learning  
System matrix recovery based on deep image prior in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 3, 页码: 14
Authors:  Yin, Lin;  Guo, Hongbo;  Zhang, Peng;  Li, Yimeng;  Hui, Hui;  Du, Yang;  Tian, Jie
Favorite  |  View/Download：3/0  |  Submit date：2023/03/20
magnetic particle imaging  deep image prior  system matrix recovery  
Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 135-158
Authors:  Shubham Gupta;  Shitu Singh;  Rong Su;  Shangce Gao;  Jagdish Chand Bansal
Adobe PDF(3042Kb)  |  Favorite  |  View/Download：21/4  |  Submit date：2023/01/03
Control parameters  differential Evolution  metaheuristic algorithms  mutation operator  
Communication-Aware Formation Control of AUVs With Model Uncertainty and Fading Channel via Integral Reinforcement Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 159-176
Authors:  Wenqiang Cao;  Jing Yan;  Xian Yang;  Xiaoyuan Luo;  Xinping Guan
Adobe PDF(8184Kb)  |  Favorite  |  View/Download：39/1  |  Submit date：2023/01/03
Autonomous underwater vehicles (AUVs)  communication-aware  formation  reinforcement learning  uncertainty  
On Dual-Mode Driving Control Method for a Novel Unmanned Tractor With High Safety and Reliability 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 254-271
Authors:  Wei Lu;  Jiacheng Li;  Huanhuan Qin;  Lei Shu;  Aiguo Song
Adobe PDF(23989Kb)  |  Favorite  |  View/Download：28/3  |  Submit date：2023/01/03
Dual-mode control  safety and reliability  self-driving (SD)  tele-driving (TD)  unmanned tractor  
Model Identification and Control of Electromagnetic Actuation in Continuous Casting Process With Improved Quality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 203-215
Authors:  Isabela Birs;  Cristina Muresan;  Dana Copot;  Clara Ionescu
Adobe PDF(37720Kb)  |  Favorite  |  View/Download：25/4  |  Submit date：2023/01/03
Electromagnetic actuator  fractional order control  fractional order system model  non-Newtonian material  
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187
Authors:  Qing Xu;  Min Wu;  Edwin Khoo;  Zhenghua Chen;  Xiaoli Li
Adobe PDF(6437Kb)  |  Favorite  |  View/Download：21/1  |  Submit date：2023/01/03
Deep learning  early prediction  lithium-ion battery  remaining useful life (RUL)  
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 121-134
Authors:  Xiang Li;  Yixiao Xu;  Naipeng Li;  Bin Yang;  Yaguo Lei
Adobe PDF(2608Kb)  |  Favorite  |  View/Download：32/2  |  Submit date：2023/01/03
Adversarial training  data fusion  deep learning  remaining useful life (RUL) prediction  sensor malfunction  
A Novel Adaptive Kalman Filter Based on Credibility Measure 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 103-120
Authors:  Quanbo Ge;  Xiaoming Hu;  Yunyu Li;  Hongli He;  Zihao Song
Adobe PDF(2653Kb)  |  Favorite  |  View/Download：21/2  |  Submit date：2023/01/03
Credibility  expectation maximization-particle swarm optimization method (EM-PSO)  filter calculated mean square errors (MSE)  inaccurate models  Kalman filter  Sage-Husa  true MSE (TMSE)  
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 78-89
Authors:  Xinya Wang;  Jiayi Ma;  Junjun Jiang
Adobe PDF(11082Kb)  |  Favorite  |  View/Download：22/2  |  Submit date：2023/01/03
Blind super-resolution  contrastive learning  deep learning  image super-resolution (SR)