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Multi-Objective Optimization for an Industrial Grinding and Classification Process Based on PBM and RSM 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2124-2135
作者:  Xiaoli Wang;  Luming Liu;  Lian Duan;  Qian Liao
Adobe PDF(5258Kb)  |  收藏  |  浏览/下载：77/31  |  提交时间：2023/09/22
Decision-making technique  grinding process  multi-objective optimization  response surface method (RSM)  
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  
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:  Sibo Cheng;  César Quilodrán-Casas;  Said Ouala;  Alban Farchi;  Che Liu;  Pierre Tandeo;  Ronan Fablet;  Didier Lucor;  Bertrand Iooss;  Julien Brajard;  Dunhui Xiao;  Tijana Janjic;  Weiping Ding;  Yike Guo;  Alberto Carrassi;  Marc Bocquet;  Rossella Arcucci
Adobe PDF(17725Kb)  |  收藏  |  浏览/下载：86/28  |  提交时间：2023/05/29
Data assimilation (DA)  deep learning  machine learning (ML)  reduced-order-modelling  uncertainty quantification (UQ)  
基于网络演算的时间敏感网络时延上界分析模型研究 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 11, 页码: 2297-2310
作者:  胡文学;  孙雷;  王健全;  朱渊;  毕紫航
Adobe PDF(2036Kb)  |  收藏  |  浏览/下载：12/4  |  提交时间：2024/04/18
时间敏感网络  网络演算  时延上界分析模型  门控设置  
State of the Art on Deep Learning-enhanced Rendering Methods 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 799-821
作者:  Qi Wang;  Zhihua Zhong;  Yuchi Huo;  Hujun Bao;  Rui Wang
Adobe PDF(6540Kb)  |  收藏  |  浏览/下载：6/2  |  提交时间：2024/04/23
Neural rendering, computer graphics, scene representation, rendering, post-processing  
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：0/0  |  提交时间：2024/04/23
Medical data  pre-training  transfer learning  self-supervised learning  medical image data  electrocardiograms (ECG) data  
Causal Reasoning Meets Visual Representation Learning: A Prospective Study 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 485-511
作者:  Yang Liu;  Yu-Shen Wei;  Hong Yan;  Guan-Bin Li;  Liang Lin
Adobe PDF(3224Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/23
Causal reasoning  visual representation learning  reliable artificial intelligence  spatial-temporal data  multi-modal analysis  
Radial Basis Function Interpolation and Galerkin Projection for Direct Trajectory Optimization and Costate Estimation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1380-1388
作者:  Hossein Mirinejad;  Tamer Inanc;  Jacek M. Zurada
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：108/40  |  提交时间：2021/06/11
Costate estimation  direct trajectory optimization  Galerkin projection  numerical optimal control  radial basis function interpolation  
A Fast Compression Framework Based on 3D Point Cloud Data for Telepresence 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 6, 页码: 855-866
作者:  Zun-Ran Wang;  Chen-Guang Yang;  Shi-Lu Dai
Adobe PDF(1401Kb)  |  收藏  |  浏览/下载：188/63  |  提交时间：2021/02/22
3D point cloud compression  motion estimation  signatures of histograms orientation  3D point cloud matching  predicted frame and intra frame.  
A Survey on Modelling and Compensation for Hysteresis in High Speed Nanopositioning of AFMs: Observation and Future Recommendation 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 4, 页码: 479-501
作者:  Maniza Armin;  Priyo Nath Roy;  Sajal Kumar Das
浏览  |  Adobe PDF(2007Kb)  |  收藏  |  浏览/下载：107/33  |  提交时间：2021/02/22
Hysteresis  nonlinearities  piezoelectric actuator  smart actuator  atomic force microscope.