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 [17]
地理科学与资源研究所 [9]
合肥物质科学研究院 [7]
沈阳自动化研究所 [6]
西安光学精密机械研究... [4]
力学研究所 [2]
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OAI收割 [56]
内容类型
期刊论文 [50]
会议论文 [6]
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2024 [6]
2023 [5]
2022 [13]
2021 [18]
2020 [5]
2019 [5]
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学科主题
力学 [1]
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浏览/检索结果:
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Assessment of the urban habitat quality service functions and their drivers based on the fusion module of graph attention network and residual network
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 29
作者:
Wang, Chunyang
;
Yang, Kui
;
Yang, Wei
;
Li, Runkui
;
Qiang, Haiyang
  |  
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2024/02/19
Residual network
graph attention network
super-pixel segmentation
habitat quality
driving force analysis
Classification of self-limited epilepsy with centrotemporal spikes by classical machine learning and deep learning based on electroencephalogram data
期刊论文
OAI收割
BRAIN RESEARCH, 2024, 卷号: 1830
作者:
Liu, Xi
;
Zhang, Xinming
;
Yu, Tao
;
Dang, Ruochen
;
Li, Jian
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/07/15
Epilepsy
Electroencephalogram
Sharp wave extraction
Machine learning
Random forest
Residual network
A novel mooring system anomaly detection framework for SEMI based on improved residual network with attention mechanism and feature fusion
期刊论文
OAI收割
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 245, 页码: 21
作者:
Mao, Yixuan
;
Li, Xiaorong
;
Duan, Menglan
;
Feng, Yongcun
;
Wang, Jinjia
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2024/04/29
Mooring line anomaly detection
Residual network
Feature fusion
Semi-submersible platform
Lightweight robotic grasping detection network based on dual attention and inverted residual
期刊论文
OAI收割
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 页码: 9
作者:
Yang, Yuequan
;
Li, Wei
;
Cao, Zhiqiang
;
Bao, Jiatong
;
Li, Fudong
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/07/03
Robotic grasping
lightweight network
attention strategy
inverted residual
pixel-level
Advancing Spiking Neural Networks Toward Deep Residual Learning
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 15
作者:
Hu, Yifan
;
Deng, Lei
;
Wu, Yujie
;
Yao, Man
;
Li, Guoqi
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/07/03
Degradation problem
neuromorphic computing
residual neural network
spiking neural network (SNN)
ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition
期刊论文
OAI收割
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 87, 页码: 9
作者:
Fan, Cunhang
;
Xie, Heng
;
Tao, Jianhua
;
Li, Yongwei
;
Pei, Guanxiong
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2023/11/15
Electroencephalogram
Emotion recognition
Capsule network
Residual Long-Short Term Memory
MAF-Net: A multi-scale attention fusion network for automatic surgical instrument segmentation?
期刊论文
OAI收割
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2023, 卷号: 85, 页码: 10
作者:
Yang, Lei
;
Gu, Yuge
;
Bian, Guibin
;
Liu, Yanhong
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/11/17
Semantic segmentation
Deep learning
Surgical instrument
Multi-scale feature fusion
Residual dense network
Deep learning-based automated terrain classification using high-resolution DEM data
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2023, 卷号: 118, 页码: 103249
作者:
Yang, Jiaqi
;
Xu, Jun
;
Lv, Yunshuo
;
Zhou, Chenghu
;
Zhu, Yunqiang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/05/06
Landform classification
Semantic segmentation
Fully convolutional network
Residual network
Adaptive Long-Neck Network With Atrous-Residual Structure for Instance Segmentation
期刊论文
OAI收割
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 7, 页码: 7786-7797
作者:
Geng, Wenjie
;
Cao, Zhiqiang
;
Guan, Peiyu
;
Ren, Guangli
;
Yu, Junzhi
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2023/11/17
Adaptive long-neck (ALN) network
atrous-residual structure
instance segmentation
Recognition of Rare Microfossils Using Transfer Learning and Deep Residual Networks
期刊论文
OAI收割
BIOLOGY-BASEL, 2023, 卷号: 12, 期号: 1, 页码: 14
作者:
Wang, Bin
;
Sun, Ruyue
;
Yang, Xiaoguang
;
Niu, Ben
;
Zhang, Tao
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2023/03/09
early Cambrian
microfossils
small sample
transfer learning
residual network