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AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction
期刊论文
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:10/0
  |  
提交时间:2023/02/22
Deep learning
neural architecture search
graph convolution
meta-learning
traffic flow prediction
ResLNet: deep residual LSTM network with longer input for action recognition
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2022, 卷号: 16, 期号: 6
作者:
Wang, Tian
;
Li, Jiakun
;
Wu, Huai-Ning
;
Li, Ce
;
Snoussi, Hichem
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  |  
浏览/下载:15/0
  |  
提交时间:2022/03/01
action recognition
deep learning
neural network
QSFM: Model Pruning Based on Quantified Similarity Between Feature Maps for AI on Edge
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 23, 页码: 24506-24515
作者:
Wang, Zidu
;
Liu, Xuexin
;
Huang, Long
;
Chen, Yunqing
;
Zhang, Yufei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/22
Tensors
Internet of Things
Convolution
Three-dimensional displays
Quantization (signal)
Hardware
Training
Edge computing
filter pruning
Internet of Things (IoT)
model compression
neural networks
Deep graph level anomaly detection with contrastive learning
期刊论文
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:12/0
  |  
提交时间:2023/02/07
FPT: Fine-Grained Detection of Driver Distraction Based on the Feature Pyramid Vision Transformer
期刊论文
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:16/0
  |  
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
Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 11
作者:
Lei, Chunli
;
Xue, Linlin
;
Jiao, Mengxuan
;
Zhang, Huqiang
;
Shi, Jiashuo
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/09/22
Chemical activation
Convolution
Convolutional neural networks
Fault detection
Neural network models
Roller bearings
Activation functions
Condition
Convolutional neural network
E-rectified linear unit activation function
Faults diagnosis
Linear units
Markov transition field
Multi dimensions
Multi-dimension attention
Transition fields
Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment
期刊论文
INSECTS, 2022, 卷号: 13
作者:
Kang, Chenrui
;
Jiao, Lin
;
Wang, Rujing
;
Liu, Zhigui
;
Du, Jianming
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  |  
浏览/下载:18/0
  |  
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
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:4/0
  |  
提交时间:2022/12/19
forward-looking sonar
sonar image segmentation
semantic segmentation
attention mechanism
convolution neural network
Towards efficient full 8-bit integer DNN online training on resource-limited devices without batch normalization
期刊论文
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:15/0
  |  
提交时间:2022/11/21
Full 8-bit quantization
Network without batch normalization
Small batch
Online training
Resource-limited devices
A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10
作者:
Zhang, Hong
;
Kan, Sunan
;
Cao, Jie
;
Chen, Linlong
;
Zhao, Tianxin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
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