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科研机构
自动化研究所 [4]
兰州理工大学 [2]
计算技术研究所 [1]
新疆理化技术研究所 [1]
合肥物质科学研究院 [1]
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期刊论文 [8]
会议论文 [1]
发表日期
2020 [9]
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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
收藏
  |  
浏览/下载:43/0
  |  
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
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation
会议论文
线上, 2020-11
作者:
Huimu Wang
;
Zhen Liu
;
Zhiqiang Pu
;
Jianqiang Yi
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2021/06/24
Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson's Disease Based on Wearable Sensors
期刊论文
ELECTRONICS, 2020, 卷号: 9
作者:
Li, Bochen
;
Yao, Zhiming
;
Wang, Jianguo
;
Wang, Shaonan
;
Yang, Xianjun
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/12/28
Parkinson's disease
freezing of gait
detection
deep learning
convolutional neural networks
long short-term memory
attention mechanism
squeeze-and-excitation block
data augmentation
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:
Wang, Mingliang
;
Lian, Chunfeng
;
Yao, Dongren
;
Zhang, Daoqiang
;
Liu, Mingxia
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/08/24
Spatial-temporal dependency
neural network
Alzheimer's disease
hub detection
resting-state functional MRI
Network intrusion detection model based on multivariate correlation analysis - long short-time memory network
期刊论文
IET INFORMATION SECURITY, 2020, 卷号: 14, 期号: 2, 页码: 166-174
作者:
Dong, Rui-Hong
;
Li, Xue-Yong
;
Zhang, Qiu-Yu
;
Yuan, Hui
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/03/30
support vector machines
neural nets
image classification
pattern classification
security of data
recurrent neural nets
learning (artificial intelligence)
network intrusion detection model
multivariate correlation analysis
short-time memory network
low detection performance
time correlation characteristics
intrusion detection datasets
multivariate correlations analysis
short-term memory network
information gain feature selection method
convolutional neural networks
recurrent neural network
classification detection performance
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:
Yuanyuan Chen
;
Hongyu Chen
;
Peijun Ye
;
Yisheng Lv
;
Fei-Yue Wang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/10/16
Traffic Flow Prediction
Ensemble Learning
Deep Learning
Convolutional Multi-Head Self-Attention on Memory for Aspect Sentiment Classification
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 1038-1044
作者:
Yaojie Zhang
;
Bing Xu
;
Tiejun Zhao
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/11
Aspect sentiment classification
deep learning
memory network
sentiment analysis (SA)
Time-Series Classification Based on Fusion Features of Sequence and Visualization
期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 12, 页码: 1-25
作者:
Wang, BQ (Wang, Baoquan)[ 1,2,3 ]
;
Jiang, TH (Jiang, Tonghai)[ 1,3 ]
;
Zhou, X (Zhou, Xi)[ 1,3 ]
;
Ma, B (Ma, Bo)[ 1,2,3 ]
;
Zhao, F (Zhao, Fan)[ 1,3 ]
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/09/09
time series data
classification
fusion feature
visualization
area graph
attention
An Encrypted Speech Retrieval Method Based on Deep Perceptual Hashing and CNN-BiLSTM
期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 148556-148569
作者:
Zhang, Qiuyu
;
Li, Yuzhou
;
Hu, Yingjie
;
Zhao, Xuejiao
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Bismuth compounds
Brain
Convolutional neural networks
Cryptography
Deep learning
Hamming distance
Information retrieval
Learning systems
Speech
Distance algorithm
Hyper-chaotic systems
Neural network model
Perceptual feature
Perceptual hashing
Recall and precision
Retrieval accuracy
Retrieval efficiency
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