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浏览/检索结果:
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IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341
作者:
Feng, Cheng
;
Chen, Zhen
;
Zhang, Congxuan
;
Hu, Weiming
;
Li, Bing
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/26
Estimation
Iterative methods
Cameras
Task analysis
Feature extraction
Decoding
Training
Monocular depth estimation
iterative refinement
self-supervised learning
deep learning
Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 13
作者:
Tian, Hu
;
Zhang, Xingwei
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
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  |  
浏览/下载:9/0
  |  
提交时间:2023/11/17
Gated recurrent unit
graph representation learning
learning dynamic dependencies
stock prediction system
Classification of High-Altitude Flying Objects Based on Radiation Characteristics with Attention-Convolutional Neural Network and Gated Recurrent Unit Network
期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 20
作者:
D. Dai, L. Cao, Y. Liu, Y. Wang and Z. Wu
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浏览/下载:0/0
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提交时间:2024/07/02
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 页码: 14
作者:
Chen, XianJia
;
Yuan, Zheng
;
Li, Qiang
;
Sun, ShouGuang
;
Wei, YuJie
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  |  
浏览/下载:22/0
  |  
提交时间:2023/02/09
load spectrum
computational mechanics
deep learning
data-driven modeling
gated recurrent unit neural network
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:28/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
Subgraph-aware graph structure revision for spatial-temporal graph modeling
期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:
Wang, Yuhu
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
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  |  
浏览/下载:21/0
  |  
提交时间:2023/01/09
Graph structure learning
Graph neural network
Spatial-temporal graph modeling
ADTIDO: Detecting the Tired Deck Officer with Fusion Feature Methods
期刊论文
SENSORS, 2022, 卷号: 22, 期号: 17, 页码: 16
作者:
Li, Chenghao
;
Fu, Yuhui
;
Ouyang, Ruihong
;
Liu, Yu
;
Hou, Xinwen
收藏
  |  
浏览/下载:17/0
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提交时间:2022/11/14
EEG
deck officer
fatigue detection
ECD-EEG fusion features
Bi-GRU neural network classifier
SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction
期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 4, 页码: 2495-2509
作者:
Yin, Yanting
;
Wu, Yajing
;
Yang, Xuebing
;
Zhang, Wensheng
;
Yuan, Xiaojie
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2022/07/25
Time-frequency analysis
Feature extraction
Predictive models
Optimization
Topology
Measurement
Logic gates
Temporal link prediction
dynamic graphs
graph embedding
neural networks
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Luo, Guiyang
;
Zhang, Hui
;
Yuan, Quan
;
Li, Jinglin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
Roads
Correlation
Feature extraction
Sensors
Deep learning
Convolution
Sensor phenomena and characterization
Traffic forecasting
graph convolutional network
spatial-temporal networks
A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors
期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174
作者:
Tong, Lina
;
Ma, Hanghang
;
Lin, Qianzhi
;
He, Jiaji
;
Peng, Liang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/10
Sensors
Feature extraction
Deep learning
Inertial sensors
Data mining
Convolutional neural networks
Accelerometers
Human activity recognition (HAR)
inertial sensor
deep learning
Bi-GRU
inception architecture
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