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科研机构
自动化研究所 [22]
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期刊论文 [20]
学位论文 [2]
发表日期
2024 [1]
2023 [3]
2022 [1]
2021 [4]
2020 [1]
2019 [1]
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专题:自动化研究所
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Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36
作者:
Ding Wang
;
Ning Gao
;
Derong Liu
;
Jinna Li
;
Frank L. Lewis
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/01/02
Adaptive dynamic programming (ADP)
advanced control
complex environment
data-driven control
event-triggered design
intelligent control
neural networks
nonlinear systems
optimal control
reinforcement learning (RL)
On Intelligent Mining With Parallel Intelligence
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300
作者:
Yang, Jianjian
;
Huang, Qiankun
;
Ge, Shirong
;
Wang, Xiao
;
Chen, Long
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Data mining
Artificial intelligence
Task analysis
Industries
Production
Biology
Collaboration
Green mining
Industry 5.0
intelligent mining using parallel intelligence
Mining 5.0
mining MAPeM model
CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs
期刊论文
IEEE INTELLIGENT SYSTEMS, 2023, 卷号: 38, 期号: 5, 页码: 56-64
作者:
Wang, Zikang
;
Li, Linjing
;
Li, Jinlin
;
Zhao, Pengfei
;
Zeng, Daniel
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/15
Cognition
Intelligent systems
Spread spectrum communication
Data mining
Computational modeling
Complexity theory
Knowledge graphs
An Intelligent Congestion Avoidance Mechanism Based on Generalized Regression Neural Network for Heterogeneous Vehicular Networks
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2712-2722
作者:
Zhu, Yuxuan
;
Li, Zhiheng
;
Wang, Feiyue
;
Li, Li
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Aerospace electronics
Vehicle dynamics
Trajectory
Space vehicles
Data models
Intelligent vehicles
Computational modeling
Extreme operating conditions
parallel learning
vehicle testing
Making Standards for Smart Mining Operations: Intelligent Vehicles for Autonomous Mining Transportation
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2022, 卷号: 7, 期号: 3, 页码: 413-416
作者:
Ge, Shirong
;
Wang, Fei-Yue
;
Yang, Jianjian
;
Ding, Zhen
;
Wang, Xiao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/11/28
Autonomous vehicles
Standards
Production
Safety
Data mining
Transportation
Roads
Intelligent mining
parallel intelligence
parallel mining operation systems
autonomous transportation
smart mining standards
C2FDA: Coarse-to-Fine Domain Adaptation for Traffic Object Detection
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 15
作者:
Zhang, Hui
;
Luo, Guiyang
;
Li, Jinglin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2022/01/27
Object detection
domain adaptation
synthetic data
intelligent visual perception
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 10
作者:
Li, Xiaoshuang
;
Ye, Peijun
;
Jin, Junchen
;
Zhu, Fenghua
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/01/27
Generative adversarial networks
Gallium nitride
Cloning
Data models
Task analysis
Complex systems
Knowledge engineering
Intelligent traffic signal operations
parallel learning
deep behavioral cloning
generative adversarial networks
A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1222-1242
作者:
Ce Zhang
;
Azim Eskandarian
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/06/11
Advanced driver assistance systems (ADAS)
data analysis
electroencephalography (EEG)
intelligent vehicles
machine learning algorithms
neural network
Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581
作者:
Shiming Liu
;
Yifan Xia
;
Zhusheng Shi
;
Hui Yu
;
Zhiqiang Li
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/04/09
Data-driven deep learning
deep learning
deep neural network (DNN)
intelligent manufacturing
machine learning
sheet metal forming
springback
theory-guided deep learning
theory-guided regularization
Fine-Grained Resource Provisioning and Task Scheduling for Heterogeneous Applications in Distributed Green Clouds
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1380-1393
作者:
Haitao Yuan
;
MengChu Zhou
;
Qing Liu
;
Abdullah Abusorrah
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/11
Bees algorithm
data centers
distributed green cloud (DGC)
energy optimization
intelligent optimization
simulated annealing
task scheduling
machine learning
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