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 [29]
计算技术研究所 [13]
合肥物质科学研究院 [9]
长春光学精密机械与物... [4]
西安光学精密机械研究... [4]
地理科学与资源研究所 [3]
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OAI收割 [75]
内容类型
期刊论文 [71]
会议论文 [4]
发表日期
2022 [75]
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A robust discretization method of factor screening for landslide susceptibility mapping using convolution neural network, random forest, and logistic regression models
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2022, 卷号: 16, 期号: 1, 页码: 408-429
作者:
Zhao, Zheng
;
Chen, Jianhua
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/04/06
Discretization
machine learning
landslide susceptibility mapping
spatial statistics
convolution neural network
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:
Fang, Shen
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/22
Deep learning
neural architecture search
graph convolution
meta-learning
traffic flow prediction
Deep graph level anomaly detection with contrastive learning
期刊论文
OAI收割
SCIENTIFIC REPORTS, 2022, 卷号: 12, 期号: 1, 页码: 11
作者:
Luo, Xuexiong
;
Wu, Jia
;
Yang, Jian
;
Xue, Shan
;
Peng, Hao
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/02/07
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Tian, Yonglin
;
Shen, Yu
;
Wang, Xiao
;
Wang, Jiangong
;
Wang, Kunfeng
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/03/20
Attention inside kernels
dynamic convolution
global context
local context
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022
作者:
Wang, HaiTao
;
Chen, Jie
;
Huang, ZhiXiang
;
Li, Bing
;
Lv, JianMing
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2022/12/23
Transformers
Vehicles
Feature extraction
Convolutional neural networks
Accidents
Roads
Convolution
Vision transformer
distraction detection
deep learning
residual embedding
driving safety
Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment
期刊论文
OAI收割
INSECTS, 2022, 卷号: 13
作者:
Kang, Chenrui
;
Jiao, Lin
;
Wang, Rujing
;
Liu, Zhigui
;
Du, Jianming
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/12/23
corn pest
convolution neural network
detection
attention
feature pyramid network
Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images
期刊论文
OAI收割
SENSORS, 2022, 卷号: 22, 期号: 21, 页码: 22
作者:
Zhao, Dongdong
;
Ge, Weihao
;
Chen, Peng
;
Hu, Yingtian
;
Dang, Yuanjie
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/12/19
forward-looking sonar
sonar image segmentation
semantic segmentation
attention mechanism
convolution neural network
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition
期刊论文
OAI收割
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:
Liu, Shuaiqi
;
Wang, Xu
;
Zhao, Ling
;
Li, Bing
;
Hu, Weiming
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/03/20
Electroencephalography
Feature extraction
Emotion recognition
Convolution
Brain modeling
Deep learning
Neural networks
3D convolution attention neural network
dual attention learning
EEG emotion recognition
spatio-temporal feature
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 511, 页码: 175-186
作者:
Yang, Yukuan
;
Chi, Xiaowei
;
Deng, Lei
;
Yan, Tianyi
;
Gao, Feng
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/11/21
Full 8-bit quantization
Network without batch normalization
Small batch
Online training
Resource-limited devices
Classification of Fine-Grained Crop Disease by Dilated Convolution and Improved Channel Attention Module
期刊论文
OAI收割
AGRICULTURE-BASEL, 2022, 卷号: 12
作者:
Zhang, Xiang
;
Gao, Huiyi
;
Wan, Li
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2022/12/23
fine-grained crop disease
convolutional neural networks
attention mechanism
classification