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自动化研究所 [7]
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期刊论文 [13]
会议论文 [1]
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浏览/检索结果:
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A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10
作者:
Zhang, Hong
;
Kan, Sunan
;
Cao, Jie
;
Chen, Linlong
;
Zhao, Tianxin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
Instance segmentation of biological images using graph convolutional network
期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 卷号: 110, 页码: 10
作者:
Xu, Rongtao
;
Li, Ye
;
Wang, Changwei
;
Xu, Shibiao
;
Meng, Weiliang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
Instance segmentation
Biological images
GCN
Spatial attention
Graph-guided feature fusion
Instance segmentation
Biological images
GCN
Spatial attention
Graph-guided feature fusion
Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging
期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, 卷号: 71, 页码: 10
作者:
Liu, Shuaiqi
;
Zhao, Ling
;
Zhao, Jie
;
Li, Bing
;
Wang, Shui-Hua
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/12/28
Attention deficit
hyperactivity disorder
Resting functional magnetic resonance imaging
Classification
Convolutional gated recurrent unit
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
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/04/02
Fine-grained defect segmentation
Crack detection
Semantic segmentation
Pavement inspection
A combined traffic flow forecasting model based on graph convolutional network and attention mechanism
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12
作者:
Zhang, Hong
;
Chen, Linlong
;
Cao, Jie
;
Zhang, Xijun
;
Kan, Sunan
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
HAPGN: Hierarchical Attentive Pooling Graph Network for Point Cloud Segmentation
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2335-2346
作者:
Chen, Chaofan
;
Qian, Shengsheng
;
Fang, Quan
;
Xu, Changsheng
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2021/11/02
Three-dimensional displays
Feature extraction
Task analysis
Layout
Logic gates
Machine learning
Two dimensional displays
Point cloud segmentation
hierarchical graph pooling
gated graph attention network
TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation
会议论文
Virtual, 2021-1
作者:
Zhang, Yujia
;
Li, Qianzhong
;
Zhao, Xiaoguang
;
Tan, Min
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/04/02
A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle
期刊论文
OCEAN ENGINEERING, 2021, 卷号: 233, 页码: 1-12
作者:
Xia SX(夏绍轩)
;
Zhou XF(周晓锋)
;
Shi HB(史海波)
;
Li S(李帅)
;
Xu CH(徐春晖)
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2021/06/23
Autonomous underwater vehicle
Fault diagnosis
Attention mechanism
Deep learning
A Multi-Stream Feature Fusion Approach for Traffic Prediction
期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 99, 期号: 1, 页码: 1-10
作者:
Zhishuai Li
;
Gang Xiong
;
Yonglin Tian
;
Yisheng Lv
;
Yuanyuan Chen
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/10/15
Traffic prediction, graph convolutional neural network, deep learning, multi-stream
Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 1, 页码: 179-192
作者:
Lu, Xiaoqiang
;
Zhang, Yuanlin
;
Yuan, Yuan
;
Feng, Yachuang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/04/14
Object detection
Feature extraction
Remote sensing
Deep learning
Detectors
Logic gates
Semantics
Deep learning
gated axis-concentrated localization network (GACL Net)
localization
remote sensing
small object detection
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