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检索条件"机构=Systems Engineering and Automatic Control"
4654 条 记 录,以下是61-70 订阅
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Multi-Task Learning for Time Series Forecasting Using NARMAX-LSTM  27
Multi-Task Learning for Time Series Forecasting Using NARMAX...
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27th International Conference on Automation and Computing, ICAC 2022
作者: Nikentari, Nerfita Wei, Hua-Liang University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Traditional time series forecasting models based on neural networks are usually designed for a single task, which ignores the source of knowledge or information from other related tasks. On the other hand, multitask l... 详细信息
来源: 评论
Virtual flight deck crew assistance utilizing artificial intelligence methods to interpret NOTAMs: a user acceptance study
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CEAS Aeronautical Journal 2024年 第4期15卷 1137-1144页
作者: Dieter, Michelle Sprenger, Eric Pasnicu, Otilia Staudt, Josefine Ellenrieder, Nils Institute of Flight Systems and Automatic Control Technical University of Darmstadt Otto-Berndt-Str. 2 Darmstadt64287 Germany Work and Engineering Psychology Research Group Technical University of Darmstadt Alexanderstr. 10 Darmstadt64283 Germany
Over the past few years, artificial intelligence (AI) and machine learning (ML) methods have become deeply embedded in everyday applications. Great progress has been made, which is why these methods are now being intr... 详细信息
来源: 评论
Output Tracking for Uncertain Time-Delay systems via Robust Reinforcement Learning control
Output Tracking for Uncertain Time-Delay Systems via Robust ...
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第43届中国控制会议
作者: Zezhi Tang J Anthony Rossiter Xin Jin Benyuan Zhang George Panoutsos Department of Automatic Control and Systems Engineering University of Sheffield
The composite optimal output tracking control problem of time-delay uncertain systems is investigated in this paper. To improve the robustness of the uncertain systems, a disturbance observer-based(DOB) compensation s... 详细信息
来源: 评论
Open-Loop and Feedback Nash Trajectories for Competitive Racing with iLQGames  27
Open-Loop and Feedback Nash Trajectories for Competitive Rac...
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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024
作者: Rowold, Matthias Langmann, Alexander Lohmann, Boris Betz, Johannes Tum School of Engineering and Design Technical University of Munich Chair of Automatic Control Germany Tum School of Engineering and Design Technical University of Munich Professorship of Autonomous Vehicle Systems Germany
Interaction-aware trajectory planning is crucial for closing the gap between autonomous racing cars and human racing drivers. Prior work has applied game theory as it provides equilibrium concepts for non-cooperative ... 详细信息
来源: 评论
Improving Motor Imagery-Based Brain-Computer Interfaces with Simple EEG Data Augmentation Algorithms: A Comparative Analysis  3
Improving Motor Imagery-Based Brain-Computer Interfaces with...
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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2024
作者: Goswami, Sourojit Phelan, Jacob Anderson, Sean Arvaneh, Mahnaz University of Sheffield Sheffield United Kingdom Automatic Control and Systems Engineering Sheffield Sheffield United Kingdom Insigneo Institute Neuroscience Institute Sheffield United Kingdom
One of the primary challenges in motor imagery (MI) based brain-computer interfaces (BCIs) is the extensive calibration time required for individual users. This paper systematically reviews and compares various straig... 详细信息
来源: 评论
Tide Level Prediction Using NARX-based Recurrent Neural Networks  27
Tide Level Prediction Using NARX-based Recurrent Neural Netw...
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27th International Conference on Automation and Computing, ICAC 2022
作者: Nikentari, Nerfita Wei, Hua-Liang University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Tide level forecasting is one of major components in oceanography and marine research. The future prediction of tides is an important issue for human and environment. This study proposes new tide level prediction meth... 详细信息
来源: 评论
A Hybrid 1DCNN-SVM Model for Bearing Fault Recognition and Classification  27
A Hybrid 1DCNN-SVM Model for Bearing Fault Recognition and C...
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27th International Conference on Automation and Computing, ICAC 2022
作者: Wang, Guoliang Wei, Hua-Liang University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Rolling bearings play a significant role in the operation of rotating machinery. Finding bearing faults in the early stage can not only keep machinery running safely but also avoid economic loss. Traditional machine l... 详细信息
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Analysing and Modelling Human Trust to a Navigation Robot  2
Analysing and Modelling Human Trust to a Navigation Robot
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2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2023
作者: Onyeoru, Happy Chidi Wirth, Christopher Giles, Joshua Arvaneh, Mahnaz University of Sheffield Department of Automatic Control and Systems Engineering United Kingdom School of Medical Sciences University of Manchester United Kingdom
Human trust plays a crucial role in Human-Machine Interactions (HMIs) within autonomous systems. This paper delves into the factors that influence human trust in machines, including varying error rates and types made ... 详细信息
来源: 评论
Efficient Mask Attention-Based NARMAX (MAB-NARMAX) Model Identification  27
Efficient Mask Attention-Based NARMAX (MAB-NARMAX) Model Ide...
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27th International Conference on Automation and Computing, ICAC 2022
作者: Sun, Yiming Wei, Hua-Liang University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
Model structure selection is crucial in system identification and data-driven modelling. Many spurious candidate variables can influence the determination of model structures due to the lack of prior knowledge of the ... 详细信息
来源: 评论
Machine Learning for Medical and Healthcare Data Analysis and Modelling: Case Studies and Performance Comparisons of Different Methods  27
Machine Learning for Medical and Healthcare Data Analysis an...
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27th International Conference on Automation and Computing, ICAC 2022
作者: Sun, Bo Wei, Hua-Liang University of Sheffield Department of Automatic Control and Systems Engineering Sheffield United Kingdom
In smart healthcare, binary classification is one of the most important tasks for disease or clinical outcome prediction. Machine learning (ML) methods have great potential to discover knowledge from data. While there... 详细信息
来源: 评论