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Intelligent monitoring and diagnosis of telescope image quality
期刊论文
Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 3541–3550
作者:
Hu TZ(胡天柱)
;
Zhang Y(张勇)
;
Cui XQ(崔向群)
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浏览/下载:0/0
  |  
提交时间:2024/03/19
methods: data analysis
methods: numerical
techniques: image processing
software: data analysis
Software-Defined Active LiDARs for Autonomous Driving: A Parallel Intelligence-Based Adaptive Model
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 8, 页码: 4047-4056
作者:
Liu, Yuhang
;
Sun, Boyi
;
Tian, Yonglin
;
Wang, Xingxia
;
Zhu, Yin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/16
Software-defined active LiDARs
parallel intelligence
adaptive sensing resources allocation
Networked Knowledge and Complex Networks: An Engineering View
期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2022, 卷号: 9, 期号: 8, 页码: 1366-1383
作者:
Lu, Jinhu
;
Wen, Guanghui
;
Lu, Ruqian
;
Wang, Yong
;
Zhang, Songmao
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  |  
浏览/下载:19/0
  |  
提交时间:2023/02/07
Complex network
knowledge graph
networked knowledge
neural network
An Extremely Multistable Complex Chaotic System Under Boosting Control
期刊论文
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2022, 卷号: 32, 期号: 7
作者:
Yang, Feifei
;
Xiong, Li
;
An, Xinlei
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  |  
浏览/下载:29/0
  |  
提交时间:2022/07/19
Complex chaotic
infinitely many coexisting attractors
hardware implementation
SPONGE: A GPU-Accelerated Molecular Dynamics Package with Enhanced Sampling and AI-Driven Algorithms
期刊论文
CHINESE JOURNAL OF CHEMISTRY, 2022, 卷号: 40, 期号: 1, 页码: 160-168
作者:
Huang YP
;
Xia YJ
;
Yang LJ
;
Wei JC(韦佳辰)
;
Yang YI
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  |  
浏览/下载:46/0
  |  
提交时间:2022/01/13
Molecular dynamics
Molecular modeling
Enhanced sampling
Machine learning
Computational chemistry
Electromagnetic Force Analysis of a Power Transformer Under the Short-Circuit Condition
期刊论文
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 卷号: 31, 期号: 8, 页码: 3
作者:
Li, Yi
;
Xu, Qiuyuan
;
Lu, Yanfeng
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  |  
浏览/下载:21/0
  |  
提交时间:2021/12/28
Electromagnetic forces
electromagnetic fields
finite element analysis
power transformers
The Quench Detection System Based on Programmable FPGA and Its Application at IMP
期刊论文
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 卷号: 31, 期号: 5, 页码: 5
作者:
Ou, Xianjin
;
Yang, Wenjie
;
Wu, Wei
;
Ni, Dongsheng
;
Zheng, Shijun
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  |  
浏览/下载:20/0
  |  
提交时间:2022/04/11
FPGA application
digital signal processing
quench
quench detection
superconducting magnets
Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 141, 页码: 15
作者:
Li, Xin
;
Zhang, Ling
;
Zheng, Yi
;
Yang, Dawen
;
Wu, Feng
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  |  
浏览/下载:82/0
  |  
提交时间:2021/08/19
Watershed system model
Human-nature system
Decision support system
Water resource management
Heihe river basin
Endorheic river basin
Dynamic response of the e-HR neuron model under electromagnetic induction
期刊论文
Pramana - Journal of Physics, 2021, 卷号: 95, 期号: 2
作者:
Qiao, Shuai
;
An, Xin-Lei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/06/03
Electric discharges
Electromagnetic fields
Electromagnetic induction
Magnetrons
Neurons
Oscillators (mechanical)
Bifurcation properties
Bifurcation structures
Limit cycle attractors
Mixed mode oscillations
Period doubling bifurcation
Subcritical Hopf bifurcation
Supercritical Hopf bifurcation
Time-varying electromagnetic fields
An improved particle swarm optimization algorithm and its application in solving forward kinematics of a 3-DoF parallel manipulator
期刊论文
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 卷号: 235, 期号: 5, 页码: 896-907
作者:
Zhang, Shuzhen
;
Yuan, Xiaolong
;
Docherty, Paul D
;
Yang, Kai
;
Li, Chunling
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  |  
浏览/下载:9/0
  |  
提交时间:2021/06/03
Benchmarking
Degrees of freedom (mechanics)
Inverse kinematics
Manipulators
Parameter estimation
Particle swarm optimization (PSO)
Reactive power
Stochastic systems
Complex optimization problems
Fast convergence speed
Improved particle swarm optimization algorithms
Mechanism simulation
Optimization problems
Parallel manipulators
Particle swarm optimization method
Three degree of freedoms
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