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科研机构
自动化研究所 [18]
内容类型
期刊论文 [17]
会议论文 [1]
发表日期
2024 [1]
2023 [5]
2022 [4]
2021 [4]
2020 [1]
2018 [1]
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A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:
M. Victoria Luzón
;
Nuria Rodríguez-Barroso
;
Alberto Argente-Garrido
;
Daniel Jiménez-López
;
Jose M. Moyano
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/03/18
Data privacy
distributed machine learning
federated learning
software frameworks
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)
Machine learning versus crop growth models: an ally, not a rival
期刊论文
AOB PLANTS, 2023, 卷号: 15, 期号: 2, 页码: 7
作者:
Zhang, Ningyi
;
Zhou, Xiaohan
;
Kang, Mengzhen
;
Hu, Bao-Gang
;
Heuvelink, Ep
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Knowledge
and data-driven modelling
Machine learning
Process-based models
yield prediction
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
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  |  
浏览/下载:0/0
  |  
提交时间:2023/09/25
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
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
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/05/29
Data assimilation (DA)
deep learning
machine learning (ML)
reduced-order-modelling
uncertainty quantification (UQ)
Effective Model Compression via Stage-wise Pruning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:
Ming-Yang Zhang, Xin-Yi Yu, Lin-Lin Ou
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 页码: 17
作者:
Tamir, Tariku Sinshaw
;
Xiong, Gang
;
Fang, Qihang
;
Yang, Yong
;
Shen, Zhen
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/01/09
Additive manufacturing
closed-loop
3D printing
digital manufacturing
machine learning
processing parameters
Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 377-391
作者:
Jun Zhang
;
Lei Pan
;
Qing-Long Han
;
Chao Chen
;
Sheng Wen
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/03/09
Cyber-physical system
cybersecurity
deep learning
intrusion detection
pattern classification
Knowledge Mining: A Cross-disciplinary Survey
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 页码: 89-114
作者:
Yong Rui, Vicente Ivan Sanchez Carmona, Mohsen Pourvali, Yun Xing, Wei-Wen Yi, Hui-Bin Ruan, Yu Zhang
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/03/29
Knowledge mining
knowledge extraction
information extraction
association rule
interpretability
A Weighted Average Consensus Approach for Decentralized Federated Learning
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 页码: 319-330
作者:
Alessandro Giuseppi
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  |  
浏览/下载:9/0
  |  
提交时间:2022/07/29
Federated learning (FedL)
deep learning
federated averaging (FedAvg)
machine learning (ML)
artificial intelligence
discrete-time consensus
distributed systems
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