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浏览/检索结果:
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Deep convolutional neural network based on self-distillation for tool wear recognition
期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2024, 卷号: 132, 页码: 12
作者:
Pan, Yi
;
Hao, Ling
;
He, Jianliang
;
Ding, Kun
;
Yu, Qiang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/03/27
Tool fault diagnosis
Mobile inspection robots
Self-distillation
Industry 4.0
Deep learning
Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 12
作者:
Chen, Liangming
;
Jin, Long
;
Shang, Mingsheng
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/05/30
Residual neural networks
Vectors
Noise
Biological neural networks
Medical services
Defect detection
Agriculture
Deep neural networks (DNNs)
industrial applications
ordinary differential equation (ODE)
representation power
A Distributed and Parallel Accelerator Design for 3-D Acoustic Imaging on FPGA-Based Systems
期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1401-1414
作者:
Zhao, Dongdong
;
Mao, Weibo
;
Chen, Peng
;
Hu, Yingtian
;
Liang, Haoran
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/06/17
Imaging
Sonar
Array signal processing
Ultra wideband technology
Computer architecture
Transducers
Acoustic beams
3-D acoustic imaging
algorithm-hardware co-designed
distributed and parallel architecture
fieldprogrammable gate array (FPGA)-based accelerator
Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4383-4393
作者:
Chen, Long
;
Li, Yuchen
;
Silamu, Wushour
;
Li, Qingquan
;
Ge, Shirong
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  |  
浏览/下载:1/0
  |  
提交时间:2024/07/03
Digital twins
Fifth Industrial Revolution
Industries
Task analysis
Production
Ontologies
Biological system modeling
Mining 5.0
smart mining
autonomous driving
industry 5.0
architectures
mining transportation trucks
Deep Industrial Image Anomaly Detection: A Survey
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:
Jiaqi Liu
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  |  
浏览/下载:2/0
  |  
提交时间:2024/01/25
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision
Deep Industrial Image Anomaly Detection: A Survey
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 104-135
作者:
Jiaqi Liu
;
Guoyang Xie
;
Jinbao Wang
;
Shangnian Li
;
Chengjie Wang
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Image anomaly detection, defect detection, industrial manufacturing, deep learning, computer vision
A finite layer analysis method proposed for energy pile modeling under coupled thermo-mechanical loads
期刊论文
COMPUTERS AND GEOTECHNICS, 2023, 卷号: 164, 页码: 16
作者:
Zong, Chenfeng
;
Jiang, Gang
;
Shao, Dong
;
Wang, Xudong
;
Hu, Wenbin
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  |  
浏览/下载:11/0
  |  
提交时间:2023/11/13
Energy piles
Thermo-mechanical load
Finite layer analysis method (FLM)
Coupled thermo-mechanical analysis
Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 4024-4038
作者:
Yang, Tian
;
Li, Yuan-Jiang
;
Qian, Yuhua
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/02/22
Consistent matrix
feature selection
fuzzy arithmetic covering
fuzzy rough sets
granular computing
A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
On Intelligent Mining With Parallel Intelligence
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 10, 页码: 4296-4300
作者:
Yang, Jianjian
;
Huang, Qiankun
;
Ge, Shirong
;
Wang, Xiao
;
Chen, Long
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Data mining
Artificial intelligence
Task analysis
Industries
Production
Biology
Collaboration
Green mining
Industry 5.0
intelligent mining using parallel intelligence
Mining 5.0
mining MAPeM model
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