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Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4383-4393
作者:
Chen, Long
;
Li, Yuchen
;
Silamu, Wushour
;
Li, Qingquan
;
Ge, Shirong
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/07/03
Digital twins
Fifth Industrial Revolution
Industries
Task analysis
Production
Ontologies
Biological system modeling
Mining 5.0
smart mining
autonomous driving
industry 5.0
architectures
mining transportation trucks
Survey of Industrial Control Systems Security
期刊论文
Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2022, 卷号: 59, 期号: 5, 页码: 1035-1053
作者:
Yang, Ting
;
Zhang, Jiayuan
;
Huang, Zaiqi
;
Chen, Yujie
;
Huang, Chenglong
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  |  
浏览/下载:25/0
  |  
提交时间:2022/08/09
Computer architecture
Control systems
Digital devices
Firmware
Industrial research
Industrial water treatment
Internet of things
Network architecture
Network security
Attack
Communications security
Control system security
Countermeasure
Digital technologies
Energy
Industrial control system security
Industrial control systems
Manufacturing industries
Security research
A Potential Game Approach for Decentralized Resource Coordination in Coexisting IWNs
期刊论文
IEEE Transactions on Cognitive Communications and Networking, 2022, 页码: 1-12
作者:
Zhang JL(张嘉麟)
;
Liang W(梁炜)
;
Yang, Bo
;
Shi HG(石华光)
;
Wang K(王轲)
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  |  
浏览/下载:12/0
  |  
提交时间:2022/03/15
Industrial wireless networks
potential game
decentralized resource coordination
coexistence system
Gated Broad Learning System Based on Deep Cascaded for Soft Sensor Modeling of Industrial Process
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71
作者:
Mou, Miao
;
Zhao, Xiaoqiang
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  |  
浏览/下载:7/0
  |  
提交时间:2022/06/20
Data mining
Deep learning
Extraction
Broad learning system
Deep learning
Feature nodes
Features extraction
Gated neuron
Industrial processs
Loss measurement
Soft sensors
Retrofitting Sea Cucumber Nursery Tanks to Recirculating Aquaculture Systems for Highly Intensive Litopenaeus vannamei Aquaculture
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 20, 页码: 13
作者:
Du, Yishuai
;
Xu, Jianping
;
Zhou, Li
;
Chen, Fudi
;
Qiu, Tianlong
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  |  
浏览/下载:29/0
  |  
提交时间:2022/01/05
Litopenaeus vannamei
recirculating aquaculture system
intensive shrimp culture
industrial aquaculture
retrofit
The impact of COVID-19 on China's regional economies and industries
期刊论文
JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 卷号: 31, 期号: 4, 页码: 565-583
作者:
Wu, Feng
;
Liu, Guijun
;
Guo, Naliang
;
Li, Zhihui
;
Deng, Xiangzheng
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  |  
浏览/下载:62/0
  |  
提交时间:2021/06/10
COVID-19
economic system impact
industrial impact
zoning classification
multi
region general equilibrium
system resilience
recovery strategy
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Luo, Xin
;
Qin, Wen
;
Dong, Ani
;
Sedraoui, Khaled
;
Zhou, MengChu
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  |  
浏览/下载:22/0
  |  
提交时间:2021/03/17
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)
Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient Descent-Based Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 402-411
作者:
Xin Luo
;
Wen Qin
;
Ani Dong
;
Khaled Sedraoui
;
MengChu Zhou
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/04/09
Big data
industrial application
industrial data
latent factor analysis
machine learning
parallel algorithm
recommender system (RS)
stochastic gradient descent (SGD)
Non-Negativity Constrained Missing Data Estimation for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 1844-1855
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Hu, Lun
;
Shang, Mingsheng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/08/24
Computational modeling
Data models
Sparse matrices
Linear programming
Training
Convergence
Analytical models
Alternating-direction-method of multipliers
high-dimensional and sparse matrix
industrial application
non-negative latent factor analysis
recommender system
The research and application of trusted startup of embedded TPM
会议论文
Shenyang, China, July 27-29, 2020
作者:
Shang WL(尚文利)
;
Zhang, Xiule
;
Chen, Xin
;
Liu XD(刘贤达)
;
Chen CY(陈春雨)
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/10/10
Trusted computing environment
Industrial control system
Trusted startup
Embedded system
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