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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
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Control parameters  differential Evolution  metaheuristic algorithms  mutation operator  
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
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Deep learning  early prediction  lithium-ion battery  remaining useful life (RUL)  
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
Authors:  Uichin Lee;  Gyuwon Jung;  Eun-Yeol Ma;  Jin San Kim;  Heepyung Kim;  Jumabek Alikhanov;  Youngtae Noh;  Heeyoung Kim
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Causal inference  data-driven analytics framework  digital therapeutics (DTx)  mobile and wearable data  technical and behavioral engagement  
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
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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
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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
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Blind super-resolution  contrastive learning  deep learning  image super-resolution (SR)  
Machine Learning for Brain Imaging Genomics Methods: A Review 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 57-78
Authors:  Mei-Ling Wang
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Brain imaging genomics  machine learning  multivariate analysis  association analysis  outcome prediction  
Deep Gradient Learning for Efficient Camouflaged Object Detection 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 92-108
Authors:  Ge-Peng Ji
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Camouflaged object detection (COD)  object gradient  soft grouping  efficient model  image segmentation  
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
Authors:  Wentao Mao;  Gangsheng Wang;  Linlin Kou;  Xihui Liang
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Anomaly detection  domain adaptation  domain-adversarial training  one-class classification  transfer learning  
A Survey on Negative Transfer 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 305-329
Authors:  Wen Zhang;  Lingfei Deng;  Lei Zhang;  Dongrui Wu
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Domain adaptation  domain similarity  negative transfer  positive transfer  transfer learning