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浏览/检索结果:
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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:
Wei, Qinglai
;
Han, Liyuan
;
Zhang, Tielin
Adobe PDF(8060Kb)
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浏览/下载:61/10
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提交时间:2024/03/27
Direct dynamic programming (DDP)
Lorenz system
multiscale dynamics
point-to-point control
recursive least square (RLS)
spiking neural network (SNN)
BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:
Wei, Zechen
;
Liu, Yanjun
;
Zhu, Tao
;
Yang, Xin
;
Tian, Jie
;
Hui, Hui
Adobe PDF(6094Kb)
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浏览/下载:78/3
  |  
提交时间:2024/02/22
Magnetic particle imaging
deep learning
self-attention mechanism
time-frequency spectrum
background signal
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
Adobe PDF(2469Kb)
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浏览/下载:55/1
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction
期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:
Ye, Xue
;
Fang, Shen
;
Sun, Fang
;
Zhang, Chunxia
;
Xiang, Shiming
Adobe PDF(3491Kb)
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浏览/下载:255/34
  |  
提交时间:2022/09/19
Traffic prediction
Spatial-temporal modeling
Meta-learning
Attention mechanism
Deep learning
Velocity and input constrained distributed nash equilibrium seeking for multi-agent integrated game and control via event-triggered communication
期刊论文
NONLINEAR DYNAMICS, 2022, 卷号: 109, 页码: 2781-2798
作者:
Pu, Zhiqiang
;
Ai, Xiaolin
;
Yi, Jianqiang
Adobe PDF(1775Kb)
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浏览/下载:293/37
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提交时间:2022/07/25
Multi-agent systems
Integrated game and control
Velocity constraint
Input saturation
Event-triggered communication
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 12, 页码: 7737-7747
作者:
Wang, Chen
;
Peng, Liang
;
Hou, Zeng-Guang
Adobe PDF(2528Kb)
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浏览/下载:223/9
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提交时间:2022/06/10
Robots
Trajectory
Task analysis
Training
Oscillators
Rehabilitation robotics
Real-time systems
Assist as needed (AAN)
motor learning
nonlinear adaptive control
rehabilitation robotics
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 5, 页码: 1436-1447
作者:
Li, Gang
;
Liu, Zejian
;
Li, Fanrong
;
Cheng, Jian
Adobe PDF(4046Kb)
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浏览/下载:291/32
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提交时间:2022/06/10
Convolution
Field programmable gate arrays
System-on-chip
Task analysis
Random access memory
Tensors
Memory management
Block convolution
convolutional neural network (CNN) accelerator
field-programmable gate array (FPGA)
memory efficient
off-chip transfer
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:
Yajing, Wu
;
Xuebing, Yang
;
Yongqiang, Tang
;
Chenyang, Zhang
;
Guoping, Zhang
;
Wensheng, Zhang
Adobe PDF(10052Kb)
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浏览/下载:320/77
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提交时间:2022/04/06
Quantitative precipitation forecasting
graph convolutional networks (GCN)
spatiotemporal model
radar-rain gauge data merging
Quantitative precipitation forecasting
graph convolutional networks (GCN)
spatiotemporal model
radar-rain gauge data merging
Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:
Zhang, Yujia
;
Wu, Junxian
;
Li, Qianzhong
;
Zhao, Xiaoguang
;
Tan, Min
Adobe PDF(12585Kb)
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浏览/下载:349/58
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提交时间:2022/04/02
Fine-grained defect segmentation
Crack detection
Semantic segmentation
Pavement inspection
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:
Liu, Fei
;
Liu, Jing
;
Hong, Richang
;
Lu, Hanqing
Adobe PDF(3550Kb)
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浏览/下载:351/89
  |  
提交时间:2022/01/27
video question answering
attention mechanism
metric learning