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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:1/0
  |  
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
A pixel-level deep segmentation network for automatic defect detection
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 215, 页码: 11
作者:
Yang, Lei
;
Xu, Shuai
;
Fan, Junfeng
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/22
Defect detection
Deep convolutional neural network
U-shape network
ConvLSTM network
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:
Yang, Lei
;
Song, Shouan
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/06/06
Welding
Feature extraction
Image segmentation
Inspection
X-ray imaging
Manufacturing
Task analysis
Attention model
convolutional long short-term memory (ConvLSTM)
defect detection
feature fusion
hybrid loss
image segmentation
Interactive prostate MR image segmentation based on ConvLSTMs and GGNN
期刊论文
Neurocomputing, 2021, 卷号: 438, 页码: 84-93
作者:
Tian, Zhiqiang
;
Li, Xiaojian
;
Chen, Zhang
;
Zheng, Yaoyue
;
Fan, Hongcheng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/04/12
Automation
Diseases
Magnetic resonance
Magnetic resonance imaging
Statistical tests
Urology
Automated methods
Graph neural networks
Intensity distribution
Interactive segmentation methods
Prostate cancers
Prostate segmentation
State-of-the-art methods
User interaction
Generative Adversarial Capsule Network With ConvLSTM for Hyperspectral Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2021, 卷号: 18, 期号: 3, 页码: 523-527
作者:
Wang, Wei-Ye
;
Li, Heng-Chao
;
Deng, Yang-Jun
;
Shao, Li-Yang
;
Lu, Xiao-Qiang
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  |  
浏览/下载:55/0
  |  
提交时间:2021/04/08
Capsule network (CapsNet)
convolutional neural network (CNN)
data augmentation
deep learning
generative adversarial network (GAN)
hyperspectral image (HSI) classification
Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 2917-2929
作者:
Zhang, Yanchao
;
Min, Weiqing
;
Nie, Liqiang
;
Jiang, Shuqiang
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  |  
浏览/下载:22/0
  |  
提交时间:2021/12/01
Visualization
Feature extraction
Convolution
Streaming media
Object oriented modeling
Three-dimensional displays
Neural networks
Feature extraction
knowledge representation
supervised learning
video signal processing
A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33
作者:
Zhang, Guangyuan
;
Lu, Haiyue
;
Dong, Jin
;
Poslad, Stefan
;
Li, Runkui
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2021/03/16
PM2.5
AOD
XGBoost
prediction
deep learning
ConvLSTM
SARIMA
Temporally Identity-Aware SSD With Attentional LSTM
期刊论文
IEEE Transactions on Cybernetics, 2020, 卷号: 56, 期号: 6, 页码: 2674–2686
作者:
Chen, Xingyu
;
Yu, Junzhi
;
Wu, Zhengxing
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/06/08
Object detection
Sequential learning
Trackingby-detection
Video processing
The Prediction of Finely-Grained Spatiotemporal Relative Human Population Density Distributions in China
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 181534-181546
作者:
Zheng, Zhi
;
Zhang, Guangyuan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/03/16
Prediction
human population density distribution
SARIMA
ConvLSTM
Tencent positioning data
deep learning
geographic spatiotemporal big data
Pixelwise Deep Sequence Learning for Moving Object Detection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 9, 页码: 2567-2579
作者:
Chen, Yingying
;
Wang, Jinqiao
;
Zhu, Bingke
;
Tang, Ming
;
Lu, Hanqing
收藏
  |  
浏览/下载:66/0
  |  
提交时间:2019/12/16
Moving object detection
background modeling
moving object proposal
convolutional neural networks
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