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期刊论文 [16]
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CRA-Net: A channel recalibration feature pyramid network for detecting small pests
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 卷号: 191
作者:
Dong, Shifeng
;
Wang, Rujing
;
Liu, Kang
;
Jiao, Lin
;
Li, Rui
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  |  
浏览/下载:66/0
  |  
提交时间:2022/03/28
Adaptive anchor
Convolutional neural networks
Feature pyramid network
Multi-class pest detection
Classifying the tracing difficulty of 3D neuron image blocks based on deep learning
期刊论文
Brain Informatics, 2021, 卷号: 8, 期号: 1
作者:
Yang,Bin
;
Huang,Jiajin
;
Wu,Gaowei
;
Yang,Jian
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  |  
浏览/下载:30/0
  |  
提交时间:2021/12/28
Deep learning
Tracing difficulty classification
Residual neural network
Fully connected neural network
Long short-term memory network
Joint Deep Multi-View Learning for Image Clustering
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 11, 页码: 3594-3606
作者:
Xie, Yuan
;
Lin, Bingqian
;
Qu, Yanyun
;
Li, Cuihua
;
Zhang, Wensheng
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  |  
浏览/下载:83/0
  |  
提交时间:2021/11/03
Clustering methods
Feature extraction
Electronic mail
Correlation
Learning systems
Clustering algorithms
Machine learning
Multi-view clustering
deep learning
multi-view fusion
Novel Feature Fusion Module-Based Detector for Small Insulator Defect Detection
期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 15, 页码: 16807-16814
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Liang, Zize
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  |  
浏览/下载:109/0
  |  
提交时间:2021/11/02
Feature extraction
Insulators
Sensors
Image segmentation
Inspection
Fuses
Support vector machines
Insulator defect detection
anchor-free object detection
data augmentation
aerial image
Efficient Parallel Branch Network With Multi-Scale Feature Fusion for Real-Time Overhead Power Line Segmentation
期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 10, 页码: 12220-12227
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Liang, Zize
;
Guo, Rui
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  |  
浏览/下载:52/0
  |  
提交时间:2021/06/07
Convolution
Feature extraction
Image segmentation
Inspection
Wires
Sensors
Real-time systems
Real-time segmentation
lightweight network
dilated depth-wise convolution
power line inspection
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 14
作者:
Fang, Shen
;
Prinet, Veronique
;
Chang, Jianlong
;
Werman, Michael
;
Zhang, Chunxia
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  |  
浏览/下载:13/0
  |  
提交时间:2022/01/27
Feature extraction
Convolution
Predictive models
Data models
Correlation
Roads
Kernel
Graph convolution
deep attention mechanism
traffic network
traffic flow prediction
artificial intelligence
deep learning
Rolling Bearing Fault Identification Based on Quantum-Behaved Particle Swarm Optimization and Multi-scale Permutation Entropy
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 1, 页码: 62-68
作者:
Wang, Wangwang
;
Deng, Linfeng
;
Zhao, Rongzhen
;
Zhang, Aihua
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  |  
浏览/下载:20/0
  |  
提交时间:2021/04/12
Clustering algorithms
Entropy
Fuzzy clustering
Particle swarm optimization (PSO)
Signal reconstruction
Ensemble empirical mode decompositions (EEMD)
Fault feature extractions
Fault recognition
Intrinsic Mode functions
Permutation entropy
Quantum-behaved particle swarm optimization
Rolling bearings
Vibration signal
HA U-Net: Improved Model for Building Extraction From High Resolution Remote Sensing Imagery
期刊论文
IEEE ACCESS, 2021, 卷号: 9, 页码: 101972-101984
作者:
Xu, Leilei
;
Liu, Yujun
;
Yang, Peng
;
Chen, Hao
;
Zhang, Hanyue
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2021/11/05
Buildings
Feature extraction
Image segmentation
Remote sensing
Predictive models
Training
Task analysis
Deep learning
building extraction
holistically-nested neural network
attention mechanism
weight mapping
watershed algorithm
Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 4855-4866
作者:
Zhu, Manyu
;
He, Dongliang
;
Li, Xin
;
Li, Chao
;
Li, Fu
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  |  
浏览/下载:39/0
  |  
提交时间:2021/08/15
Convolution
Decoding
Kernel
Feature extraction
Shape
Image reconstruction
Task analysis
Image inpainting
mask awareness
dynamic filtering
cascaded refinement
Fault Diagnosis Based on Multi-scale LSTM-FCNs for Industrial Process
会议论文
Chengdu, China, December 17-18, 2021
作者:
Yang SJ(阳少杰)
;
Li P(里鹏)
;
Li S(李帅)
;
Zhou XF(周晓锋)
;
Jiang, Shanghong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/04/13
industrial process
fault diagnosis
multi-scale feature extraction
deep neural networks
variational mode decomposition
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