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LG-DBNet: Local and Global Dual-Branch Network for SAR Image Denoising
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:
Liu, Shuaiqi
;
Tian, Shikang
;
Zhao, Yuhang
;
Hu, Qi
;
Li, Bing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/07/03
Noise reduction
Radar polarimetry
Feature extraction
Speckle
Transforms
Filtering
Transformers
Convolutional neural network (CNN)
dual-branch network
hybrid attention module
self-attention mechanisms
synthetic aperture radar (SAR) image denoising
SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Zhang, Hui
;
Luo, Guiyang
;
Wang, Xiao
;
Li, Yidong
;
Ding, Weiping
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/07/03
Feature extraction
Three-dimensional displays
Detectors
Object detection
Proposals
Point cloud compression
Shape
3D object detection
autonomous driving
point-voxel detectors
Galaxy Morphological Classification of the Legacy Surveys with Deformable Convolutional Neural Networks
期刊论文
The Astronomical Journal, 2023, 卷号: 167, 期号: 1
作者:
Wei,Shoulin
;
Lu,Wei
;
Dai,Wei
;
Liang,Bo
;
Hao LF(郝龙飞)
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/04/01
A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 期号: *, 页码: 1-14
作者:
Hou X(侯旭)
;
Du FJ(杜福嘉)
;
Huang K(黄康)
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/03/18
Comb filter kernel(CF-kernel)
motor current signal analysis
convolutional neural network(CNN)
fault diagnosis
limited training sample
BGL-Net: A Brain-Inspired Global-Local Information Fusion Network for Alzheimers Disease Based on sMRI
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1161-1169
作者:
Fan, Chen-Chen
;
Yang, Hongjun
;
Peng, Liang
;
Zhou, Xiao-Hu
;
Ni, Zhen-Liang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/12/21
Alzheimer's disease (AD)
cognitive assessment
convolutional neural networks (CNNs)
graph neural networks
structural magnetic resonance imaging (sMRI)
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403
作者:
Zhao, Yuxuan
;
Cao, Xinyan
;
Lin, Jinlong
;
Yu, Dunshan
;
Cao, Xixin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Physiology
Brain modeling
Feature extraction
Electroencephalography
Biological system modeling
Convolution
Reliability
Multimodal affective states recognition
convolutional neural network
decision fusion model
physiological signals
A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 16
作者:
Liu, Yanhong
;
Li, Xingyu
;
Yang, Lei
;
Bian, Guibin
;
Yu, Hongnian
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
Feature extraction
Gesture recognition
Task analysis
Transformers
Time-frequency analysis
Convolution
Data mining
Convolutional neural network (CNN)
feature fusion
hand gesture recognition
surface electromyography (sEMG) sensor
transformer
Graph Reasoning Module for Alzheimer’s Disease Diagnosis: A Plug-and-Play Method
期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 卷号: 31, 页码: 4773-4780
作者:
Fan, Chen-Chen
;
Yang, Hongjun
;
Zhang, Chutian
;
Peng, Liang
;
Zhou, Xiaohu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/07/03
Alzheimer's disease diagnosis
graph convolution network
plug-and-play
structural magnetic resonance imaging
Fault Diagnosis for Robotic Fish Sensors based on Spatial Domain Image Fusion and Convolution Neural Network
会议论文
Tianjin, China, 2023-7
作者:
Xuqing Fan
;
Sai Deng
;
Junfeng Fan
;
Chao Zhou
;
Zhengxing Wu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/06/05
Fault Diagnosis
GAF Fusion
CNN
Robotic Fish
ResLNet: deep residual LSTM network with longer input for action recognition
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 6
作者:
Wang, Tian
;
Li, Jiakun
;
Wu, Huai-Ning
;
Li, Ce
;
Snoussi, Hichem
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
action recognition
deep learning
neural network
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