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PreSTNet: Pre-trained Spatio-Temporal Network for traffic forecasting
期刊论文
INFORMATION FUSION, 2024, 卷号: 106, 页码: 13
作者:
Fang, Shen
;
Ji, Wei
;
Xiang, Shiming
;
Hua, Wei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/07/03
Traffic forecasting
Spatio-temporal graph neural network
Pre-training
Deep Survival Analysis With Latent Clustering and Contrastive Learning
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2024, 卷号: 28, 期号: 5, 页码: 3090-3101
作者:
Cui, Chang
;
Tang, Yongqiang
;
Zhang, Wensheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/07/04
Analytical models
Task analysis
Self-supervised learning
Predictive models
Hazards
Data models
Correlation
Survival analysis
deep learning
clustering
contrastive learning
survival prediction
Lightweight robotic grasping detection network based on dual attention and inverted residual
期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 页码: 9
作者:
Yang, Yuequan
;
Li, Wei
;
Cao, Zhiqiang
;
Bao, Jiatong
;
Li, Fudong
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/07/03
Robotic grasping
lightweight network
attention strategy
inverted residual
pixel-level
A deep latent space model for interpretable representation learning on directed graphs
期刊论文
NEUROCOMPUTING, 2024, 卷号: 576, 页码: 13
作者:
Yang, Hanxuan
;
Kong, Qingchao
;
Mao, Wenji
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  |  
浏览/下载:0/0
  |  
提交时间:2024/05/30
Graph representation learning
Deep latent space model
Model interpretability
Variational auto-encoder
Directed graph
Structure and role of the pressure Hessian in regions of strong vorticity in turbulence
期刊论文
JOURNAL OF FLUID MECHANICS, 2024, 卷号: 983, 页码: 12
作者:
Yang, P. -F.
;
Xu, H.
;
Pumir, A.
;
He, G. W.
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  |  
浏览/下载:4/0
  |  
提交时间:2024/05/14
turbulence theory
turbulence modelling
vortex dynamics
Latitudinal pronounced variations in tintinnid (Ciliophora) community at surface waters from the South China Sea to the Yellow Sea: Oceanic-to-neritic species shift, biotic-abiotic interaction and future prediction
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 14
作者:
Wang, Chaofeng
;
Zhao, Chenhao
;
Zhou, Bu
;
Xu, Zhimeng
;
Ma, Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/04/07
Microzooplankton
Tintinnid
China's marginal seas
Biogeochemical fluxes Climate change
A pore network-based multiscale coupled model for rapid permeability prediction of tight sandstone gas
期刊论文
MARINE AND PETROLEUM GEOLOGY, 2024, 卷号: 160, 页码: 15
作者:
Xu ZP(徐志朋)
;
Lin M(林缅)
;
Jiang WB(江文滨)
;
Ji LL(姬莉莉)
;
Xu, Leige
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  |  
浏览/下载:3/0
  |  
提交时间:2024/01/22
Tight sandstone gas
Permeability
Multiscale petrophysics
Pore network coupling modeling
Multiscale modelling for the thermal transport behaviour of ceramic matrix composites with hierarchical structures
期刊论文
COMPOSITES COMMUNICATIONS, 2024, 卷号: 46, 页码: 7
作者:
Yang, Suning
;
Shen L(申亮)
;
Li WH(李文皓)
;
Zhang, Zhongwei
;
Yang ZM(杨正茂)
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/15
Ceramic -matrix composites
Hierarchical structure
Thermal conductivity
Multiscale modelling
Porosity
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data
期刊论文
ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:
Xie, Bowen
;
Qi, Jifeng
;
Yang, Shuguo
;
Sun, Guimin
;
Feng, Zhongkun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/04/07
sea surface temperature
deep learning
3D U-Net model
marine heat waves
South China Sea
multi-source data
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
作者:
Zhiming Zhang
;
Shangce Gao
;
MengChu Zhou
;
Mengtao Yan
;
Shuyang Cao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/22
Convolutional neural network
deep learning
recurrent neural network
turbulence prediction
wind load prediction
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