中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [19]
计算技术研究所 [13]
地理科学与资源研究所 [4]
西安光学精密机械研究... [3]
光电技术研究所 [2]
合肥物质科学研究院 [2]
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OAI收割 [46]
内容类型
期刊论文 [40]
会议论文 [6]
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2024 [2]
2023 [9]
2022 [9]
2021 [13]
2020 [4]
2019 [7]
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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
OAI收割
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:14/0
  |  
提交时间:2024/03/27
Tool fault diagnosis
Mobile inspection robots
Self-distillation
Industry 4.0
Deep learning
A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition
期刊论文
OAI收割
NUTRIENTS, 2024, 卷号: 16, 期号: 2, 页码: 16
作者:
Sheng, Guorui
;
Min, Weiqing
;
Zhu, Xiangyi
;
Xu, Liang
;
Sun, Qingshuo
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/20
food recognition
lightweight
global feature
ViT
nutrition management
A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 17, 期号: 1, 页码: 168988
作者:
Lu, Wei
;
Hu, Yunfeng
;
Shao, Wei
;
Wang, Hao
;
Zhang, Zuopei
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/05
Landslide detection
multi-scale feature fusion
attention mechanism
convolutional neural network
remote sensing
A Current-Based Fault Diagnosis Method for Rotating Machinery With Limited Training Samples
期刊论文
OAI收割
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:25/0
  |  
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
Lightweight Multiattention Recursive Residual CNN-Based In-Loop Filter Driven by Neuron Diversity
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6996-7008
作者:
Li, Mingxuan
;
Ji, Wen
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/20
Video coding
in-loop filtering
convolutional neural network
deep learning
high-efficiency video coding (HEVC)
An efficient lightweight CNN model for real-time fire smoke detection
期刊论文
OAI收割
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2023, 卷号: 20, 期号: 4
作者:
Sun, Bangyong
;
Wang, Yu
;
Wu, Siyuan
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/07/13
Fire
smoke detection
SE-GhostNet
Depthwise separable convolution
MSD subnetwork
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:
Zhu, Yida
;
Luo, Haiyong
;
Chen, Runze
;
Zhao, Fang
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/12/04
Convolutional denoising autoencoders (CDAEs)
global-attention mechanism
graph convolutional networks
human activity recognition (HAR)
multisensor modality
self-attention mechanism
Lightweight real-time stereo matching algorithm for AI chips
期刊论文
OAI收割
COMPUTER COMMUNICATIONS, 2023, 卷号: 199, 页码: 210-217
作者:
Liu, Yi
;
Wang, Wenhao
;
Xu, Xintao
;
Guo, Xiaozhou
;
Gong, Guoliang
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/07/12
AI chips
Stereo matching
Lightweight network
Unsupervised learning
Multi-stage stereo matching
Optimus: An Operator Fusion Framework for Deep Neural Networks
期刊论文
OAI收割
ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, 2023, 卷号: 22, 期号: 1, 页码: 26
作者:
Cai, Xuyi
;
Wang, Ying
;
Zhang, Lei
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/07/12
Neural network
embedded processor
memory
layer fusion
Circle-Net: An Unsupervised Lightweight-Attention Cyclic Network for Hyperspectral and Multispectral Image Fusion
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 4499-4515
作者:
Liu, Shuaiqi
;
Miao, Siyu
;
Liu, Siyuan
;
Li, Bing
;
Hu, Weiming
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Attention mechanism
deep learning (DL)
hyperspectral images (HSIs)
image fusion
multispectral images (MSIs)