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AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:
Fang, Shen
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/02/22
Deep learning
neural architecture search
graph convolution
meta-learning
traffic flow prediction
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
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2022/09/19
Traffic prediction
Spatial-temporal modeling
Meta-learning
Attention mechanism
Deep learning
Multi-modal spatio-temporal meteorological forecasting with deep neural network
期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:
Xinbang Zhang
;
Qizhao Jin
;
Tingzhao Yu
;
Shiming Xiang
;
Qiuming Kuang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/01
Meterological forecasting
Deep learning
Neural architecture search
AutoML
Statistics release and privacy protection method of location big data based on deep learning
期刊论文
Tongxin Xuebao/Journal on Communications, 2022, 卷号: 43, 期号: 1, 页码: 203-216
作者:
Yan, Yan
;
Cong, Yiming
;
Mahmood, Adnan
;
Sheng, Quanzheng
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  |  
浏览/下载:13/0
  |  
提交时间:2022/04/21
Big data
Budget control
Data privacy
Deep learning
Efficiency
Forecasting
Publishing
Data publishing
Deep learning
Differential privacies
Location privacy
Partition structures
Privacy protection
Privacy protection data publishing
Private spatial decomposition
Protection methods
Spatial decompositions
A deep learning traffic flow prediction framework based on multi-channel graph convolution
期刊论文
TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900
作者:
Zhao, Yuanmeng
;
Cao, Jie
;
Zhang, Hong
;
Liu, Zongli
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  |  
浏览/下载:6/0
  |  
提交时间:2021/12/17
Traffic flow
deep learning
graph convolution (GCN)
Long Short-Term Memory (LSTM)
spatial-temporal features
Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic Flow Prediction
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 6-10
作者:
Fang, Shen
;
Pan, Xianbing
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/01
Data fusion
deep learning
graph convolution
meta-learning
traffic flow prediction
traffic network
ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1015-1024
作者:
Xiurui Hou
;
Kai Wang
;
Cheng Zhong
;
Zhi Wei
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  |  
浏览/下载:38/0
  |  
提交时间:2021/04/09
Graph convolution network
long-short term memory network
stock market forecasting
variational autoencoder (VAE)
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 581-593
作者:
Zhao-Hua Liu
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  |  
浏览/下载:13/0
  |  
提交时间:2021/07/20
Deep learning
fault diagnosis
fault prognosis
long and short time memory network (LSTM)
rolling bearing
rotating machinery
regularization
remaining useful life prediction (RUL)
recurrent neural network (RNN)
Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 3625-3639
作者:
Chen, Yangyang
;
Ming, Dongping
;
Ling, Xiao
;
Lv, Xianwei
;
Zhou, Chenghu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/06/10
Terrain factors
Numerical models
Feature extraction
Training
Statistical analysis
Geology
Reliability
Convolutional neural networks (CNNs)
landslide susceptibility mapping (LSM)
Lantau Island
remote sensing
Toward a framework for the multimodel ensemble prediction of soil nitrogen losses
期刊论文
ECOLOGICAL MODELLING, 2021, 卷号: 456
作者:
Liao, Kaihua
;
Lv, Ligang
;
Lai, Xiaoming
;
Zhu, Qing
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/03/10
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