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Fundamental parameters of 318 contact binaries from the TESS survey
期刊论文
Monthly Notices of the Royal Astronomical Society, 2023, 卷号: 525, 期号: 3, 页码: 4596-4610
作者:
Ding X(丁旭)
;
Ji KF(季凯帆)
;
Li, Xuzhi
;
Xiong JP(熊建萍)
;
Cheng QY(程其原)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/10/23
methods: data analysis
binaries: eclipsing
stars: fundamental parameters
Finite-time filtering of T-S fuzzy semi-Markov jump systems with asynchronous mode-dependent delays
期刊论文
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 16, 页码: 12707-12728
作者:
Ma, Chao
;
Fu, Hang
;
Wu, Wei
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  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Machine learning informed visco-plastic model for the cyclic relaxation of 316H stainless steel at 550 °C
期刊论文
INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 卷号: 170, 页码: 23
作者:
Du R(杜柔)
;
Song HX(宋恒旭)
;
Gao, Fuhai
;
Mo, Yafei
;
Yan, Ziming
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  |  
浏览/下载:5/0
  |  
提交时间:2024/02/19
Cyclic relaxation
High -temperature plasticity
Visco-plastic constitutive model
Bayesian method
Fatigue and creep
Memory-based Human Postural Regulation Control: An Asynchronous Semi-Markov Model Approach
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2023, 卷号: 21, 期号: 10, 页码: 3357-3367
作者:
Ma, Chao
;
Fu, Hang
;
Wu, Wei
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/16
Asynchronous regulation
convex optimization
human postural regulation
memory-based regulation
semi-Markov jump system
Dependency-Aware Vehicular Task Scheduling Policy for Tracking Service VEC Networks
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2400-2414
作者:
Li, Chao
;
Liu, Fagui
;
Wang, Bin
;
Chen, C. L. Philip
;
Tang, Xuhao
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  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Task analysis
Intelligent vehicles
Optimization
Processor scheduling
Vehicle dynamics
Heuristic algorithms
Costs
Deep reinforcement learning (DRL)
scheduling policy
tracking service
vehicular edge computing (VEC)
Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method
期刊论文
Ad Hoc Networks, 2022, 卷号: 136
作者:
Xue, Jianbin
;
Wu, Qingqing
;
Zhang, Haijun
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  |  
浏览/下载:17/0
  |  
提交时间:2022/09/22
Antennas
computation offloading
Convex optimization
Cost effectiveness
Deep learning
Energy utilization
Learning algorithms
Learning systems
Markov processes
Mobile edge computing
Multi agent systems
Power control
Reinforcement learning
Unmanned aerial vehicles (UAV)
Aerial vehicle
Computation offloading
Costs Optimization
Deep reinforcement learning
Edge computing
Multi-access edge computing
Multiaccess
Reinforcement learnings
Unmanned aerial vehicle
User equipments
Identifying the key frames: An attention-aware sampling method for action recognition
期刊论文
PATTERN RECOGNITION, 2022, 卷号: 130, 页码: 11
作者:
Dong, Wenkai
;
Zhang, Zhaoxiang
;
Song, Chunfeng
;
Tan, Tieniu
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/17
Action recognition
Deep learning
Reinforcement learning
Pseudo labels
A dynamic and combined maintenance strategy for photovoltaic power plants considering the dependencies and availability of components
期刊论文
ELECTRICAL ENGINEERING, 2022
作者:
Chen, Wei
;
Li, Xubin
;
Ji, Qingchun
;
Pei, Xiping
;
Wang, Zhongfei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/07/19
Relevance
Markov
Availability
Weather factor
Combined maintenance
A multivariate control chart for monitoring trivariate Poisson processes with spatial correlation
期刊论文
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2022, 卷号: 40, 期号: 2, 页码: 288-295
作者:
Wu, Cang
;
Si, Shubin
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  |  
浏览/下载:10/0
  |  
提交时间:2022/06/20
Control charts
Flowcharting
Markov processes
Statistical process control
Average run lengths
Copula functions
Mean shift
Multivariate and control chart
Multivariate control charts
Multivariate data
Performance
Poisson process
Spatial correlations
Trivariate
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241
作者:
Zhu, Yuanheng
;
Zhao, Dongbin
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  |  
浏览/下载:16/0
  |  
提交时间:2022/06/10
Games
Nash equilibrium
Mathematical model
Markov processes
Convergence
Dynamic programming
Training
Deep reinforcement learning (DRL)
generalized policy iteration (GPI)
Markov game (MG)
Nash equilibrium
Q network
zero sum
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