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计算技术研究所 [7]
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沈阳自动化研究所 [6]
合肥物质科学研究院 [3]
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期刊论文 [24]
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2020 [26]
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Predicting future locations of moving objects with deep fuzzy-LSTM networks
期刊论文
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 卷号: 16, 期号: 1, 页码: 119-136
作者:
Li, Mingxiao
;
Lu, Feng
;
Zhang, Hengcai
;
Chen, Jie
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/05/19
Location prediction
fuzzy space partition
mobile phone data
trajectory data mining
deep learning
Distributed machine learning load balancing strategy in cloud computing services
期刊论文
WIRELESS NETWORKS, 2020, 卷号: 26, 期号: 8, 页码: 5517-5533
作者:
Li, Mingwei
;
Zhang, Jilin
;
Wan, Jian
;
Ren, Yongjian
;
Zhou, Li
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  |  
浏览/下载:39/0
  |  
提交时间:2020/12/10
Mobile service computing
Cloud service
Distributed machine learning
Load balancing
Adaptive fast reassignment
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:
Wang, Rongrong
;
Luo, Haiyong
;
Wang, Qu
;
Li, Zhaohui
;
Zhao, Fang
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  |  
浏览/下载:42/0
  |  
提交时间:2020/12/10
Wireless fidelity
Feature extraction
Fingerprint recognition
Residual neural networks
Deep learning
Robustness
Degradation
Convolutional neural network (CNN)
indoor positioning
long short-term memory (LSTM)
residual network
spatial-temporal
CNQ: Compressor-Based Non-uniform Quantization of Deep Neural NetworksInspec keywordsOther keywordsKey words
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2020, 卷号: 29, 期号: 6, 页码: 1126-1133
作者:
Yuan, Yong
;
Chen, Chen
;
Hu, Xiyuan
;
Peng, Silong
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  |  
浏览/下载:122/0
  |  
提交时间:2021/03/08
entropy
image classification
learning (artificial intelligence)
neural nets
object detection
optimisation
quantisation (signal)
network structure
DNN
low-bit quantization
time-consuming training
compressor-based fast nonuniform quantization method
quantization model
post-training quantization methods
deep neural networks
network quantization
compressor-based nonuniform quantization
CNQ
Non-uniform quantization
Knowledge distillation
Unlabeled samples
Network compression
Achieve Personalized Exercise Intensity through an Intelligent System and Cycling Equipment: A Machine Learning Approach
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10
作者:
Wu, Yichen
;
Ma, Zuchang
;
Zhao, Huanhuan
;
Li, Yibing
;
Sun, Yining
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  |  
浏览/下载:25/0
  |  
提交时间:2020/12/28
exercise prescriptions
sports equipment
exercise intensity
intelligent system
machine learning
Deep representation-based packetized predictive compensation for networked nonlinear systems
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020
作者:
Chen, Shaofeng
;
Cao, Yang
;
Kang, Yu
;
Sun, Bingyu
;
Wang, Xuefeng
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浏览/下载:38/0
  |  
提交时间:2020/11/30
Deep representation
Networked control systems
Data packet dropouts
Stabilization
Reinforcement Learning-Based Mobile Offloading for Edge Computing Against Jamming and Interference
期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 卷号: 68, 期号: 10, 页码: 6114-6126
作者:
Xiao, Liang
;
Lu, Xiaozhen
;
Xu, Tangwei
;
Wan, Xiaoyue
;
Ji, Wen
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  |  
浏览/下载:21/0
  |  
提交时间:2020/12/10
Task analysis
Mobile handsets
Edge computing
Computational modeling
Interference
Energy consumption
Jamming
Mobile offloading
edge computing
interference
jamming
reinforcement learning
ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:
Jia, Hongwei
;
Luo, Haiyong
;
Wang, Hao
;
Zhao, Fang
;
Ke, Qixue
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/12/10
forecasting passenger flow
spatiotemporal networks
multi-task learning
attention mechanism
spatiotemporal dependency
Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:
Xiong, Tianyi
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Tao, Xinlong
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  |  
浏览/下载:50/0
  |  
提交时间:2020/07/06
neurocontrollers
multi-agent systems
Lyapunov methods
closed loop systems
nonlinear control systems
time-varying systems
adaptive control
observers
uncertain systems
position control
radial basis function networks
robust control
control system synthesis
learning (artificial intelligence)
minimal learning-parameter approach
fixed-time CLSO
time-varying formation tracking problem
formation tracking control scheme
multiagent systems
time-varying formation tracking control problem
model uncertainties
velocity measurements
radial basis function neural networks
fixed-time cascaded leader state observer
fixed-time observer-based adaptive neural network time-varying formation tracking control
RBFNN-based adaptive control scheme
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 25
作者:
Gao, Xile
;
Luo, Haiyong
;
Ning, Bokun
;
Zhao, Fang
;
Bao, Linfeng
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/12/10
integrated navigation
Kalman filter
process noise covariance estimation
reinforcement learning
deep deterministic policy gradient
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