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Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
Forged facial video detection framework based on multi-region temporal relationship feature
期刊论文
AIP ADVANCES, 2023, 卷号: 13, 期号: 8, 页码: 8
作者:
Fang, Xing
;
Hao, YanNi
;
Luo, Yin
;
Xu, Nan
;
Cao, Jia
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Real-time vehicle detection algorithm based on a lightweight You-Only-Look-Once (YOLOv5n-L) approach
期刊论文
Expert Systems with Applications, 2023, 卷号: 213, 页码: 9
作者:
M. L. Bie
;
Y. Y. Liu
;
G. N. Li
;
J. T. Hong and J. Li
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/06/14
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 837-854
作者:
Zhenyu Li
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  |  
浏览/下载:0/0
  |  
提交时间:2023/11/23
Autonomous driving, 3D reconstruction, monocular depth estimation, Transformer, convolution
QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 23, 页码: 24506-24515
作者:
Wang, Zidu
;
Liu, Xuexin
;
Huang, Long
;
Chen, Yunqing
;
Zhang, Yufei
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  |  
浏览/下载:15/0
  |  
提交时间:2023/02/22
Tensors
Internet of Things
Convolution
Three-dimensional displays
Quantization (signal)
Hardware
Training
Edge computing
filter pruning
Internet of Things (IoT)
model compression
neural networks
Deep graph level anomaly detection with contrastive learning
期刊论文
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1, 页码: 11
作者:
Luo, Xuexiong
;
Wu, Jia
;
Yang, Jian
;
Xue, Shan
;
Peng, Hao
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/07
GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation
会议论文
Tel Aviv, Israel,, 2022-10-23
作者:
Keqiang Li
;
Mingyang Zhao
;
Huaiyu Wu
;
Dong-Ming Yan
;
Zhen Shen
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/06/12
Normal estimation
unstructured 3D point clouds
graph convolution
multi-scale
Deep Pansharpening via 3D Spectral Super-Resolution Network and Discrepancy-Based Gradient Transfer
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 17
作者:
Su, Haonan
;
Jin, Haiyan
;
Sun, Ce
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  |  
浏览/下载:15/0
  |  
提交时间:2022/10/10
spectral super-resolution
pansharpening
discrepancy
3D convolutional neural network
hyperspectral images (HS)
multispectral images (MS)
gradient transfer
Optimal Control in a Bounded Domain for Wave Propagating in the Whole Space: Coupling Through Boundary Integral Equations
期刊论文
JOURNAL OF SCIENTIFIC COMPUTING, 2022, 卷号: 92, 期号: 3, 页码: 52
作者:
Gong, Wei
;
Li, Buyang
;
Yang, Huanhuan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
Wave equation
Unbounded domain
Boundary integral equation
Well-posedness
Convolution quadrature
Stability
Convergence
Error estimate
An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Zhao, Xiaoqiang
;
Zhang, Yazhou
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Deep learning
Failure (mechanical)
Failure analysis
Fault detection
Roller bearings
Shrinkage
Bearing fault diagnosis
Convolutional neural network
Intelligent diagnosis methods
Multi-scale residual shrinkage convolutional neural network
Multi-scales
Noise environments
Rolling bearings
Separable convolution
Variable operating condition
Vibration signal
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