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Submarine landslides on a carbonate platform slope changing transport pathways of deepwater gravity flows: Insights from the Xisha Islands, South China Sea
期刊论文
GEOMORPHOLOGY, 2023, 卷号: 437, 页码: 16
作者:
Liu, Gang
;
Wang, Dawei
;
Chen, Wanli
;
Wang, Weiwei
;
Betzler, Christian
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/10/07
Carbonate platform
Xisha Islands
Submarine landslide
Submarine canyon
Channel system
Gravity flows
Deep unfolding multi-scale regularizer network for image denoising
期刊论文
COMPUTATIONAL VISUAL MEDIA, 2023, 卷号: 9, 期号: 2, 页码: 335-350
作者:
Xu, Jingzhao
;
Yuan, Mengke
;
Yan, Dong-Ming
;
Wu, Tieru
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/02/22
image denoising
deep unfolding network
multi-scale regularizer
deep learning
Refined Crack Detection via LECSFormer for Autonomous Road Inspection Vehicles
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2049-2061
作者:
Chen, Junzhou
;
Zhao, Nan
;
Zhang, Ronghui
;
Chen, Long
;
Huang, Kai
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Roads
Transformers
Feature extraction
Diseases
Inspection
Shape
Intelligent vehicles
Refined crack detection
window-based trans-former
semantic segmentation
autonomous road inspection vehicles
Seismic architecture of Yongle isolated carbonate platform in Xisha Archipelago, South China Sea
期刊论文
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 11, 页码: 16
作者:
Liu, Gang
;
Wu, Shiguo
;
Gao, Jinwei
;
Zhang, Hanyu
;
Han, Xiaohui
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/03/31
isolated carbonate platform
geomorphology
seismic stratigraphy
evolution
Yongle Atoll
South China Sea
SMNet: Synchronous Multi-Scale Low Light Enhancement Network With Local and Global Concern
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 9506-9517
作者:
Lin, Shideng
;
Tang, Fan
;
Dong, Weiming
;
Pan, Xingjia
;
Xu, Changsheng
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  |  
浏览/下载:0/0
  |  
提交时间:2024/02/21
Low-light image enhancement
multi-scale feature learning
deep-learning
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
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  |  
浏览/下载:7/0
  |  
提交时间:2023/06/12
Normal estimation
unstructured 3D point clouds
graph convolution
multi-scale
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
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  |  
浏览/下载:14/0
  |  
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
PLE-Net: Automatic power line extraction method using deep learning from aerial images
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 198, 页码: 9
作者:
Yang, Lei
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/07/25
Power line extraction
Deep architecture
Image segmentation
Multi-scale attention module
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:15/0
  |  
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
Vision-Based Power Line Segmentation With an Attention Fusion Network
期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 8196-8205
作者:
Yang, Lei
;
Fan, Junfeng
;
Xu, Shuai
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/07/25
Power transmission lines
Inspection
Feature extraction
Sensors
Image segmentation
Navigation
Vision sensors
Power line extraction
deep network architecture
image segmentation
multi-scale feature fusion
attention module
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