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华南理工大学 [4]
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CFSL: A Credible Federated Self-Learning Framework
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:
Zhang, Weishan
;
Bao, Zhicheng
;
Liu, Yuru
;
Xu, Liang
;
Lu, Qinghua
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/26
Federated learning
Data models
Training
Internet of Things
Blockchains
Adaptation models
Smart contracts
Blockchain
consensus
federated learning
personalization
self-learning
MD-YOLO: Multi-scale Dense YOLO for small target pest detection
期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 213, 页码: 12
作者:
Tian, Yunong
;
Wang, Shihui
;
Li, En
;
Yang, Guodong
;
Liang, Zize
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/11/16
Pest detection
Deep learning
Computer vision
Internet of Things
Precision agriculture
The Human Continuity Activity Semisupervised Recognizing Model for Multiview IoT Network
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 11, 页码: 9398-9410
作者:
Yuan, Ruiwen
;
Wang, Junping
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  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Feature extraction
Sensors
Human activity recognition
Internet of Things
Data models
Sensor phenomena and characterization
Data mining
Activity feature extraction
deep learning
human activity recognition (HAR)
semisupervised learning
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
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  |  
浏览/下载:13/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)
Bandwidth-efficient multi-task AI inference with dynamic task importance for the Internet of Things in edge computing
期刊论文
COMPUTER NETWORKS, 2022, 卷号: 216, 页码: 13
作者:
Zhang, Jianfeng
;
Zhang, Wensheng
;
Xu, Jingdong
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  |  
浏览/下载:35/0
  |  
提交时间:2023/01/09
Internet of Things
Edge computing
Edge intelligence
Multi-task learning
An Efficient Multiresolution Network for Vehicle Reidentification
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 11, 页码: 9049-9059
作者:
Shen, Fei
;
Zhu, Jianqing
;
Zhu, Xiaobin
;
Huang, Jingchang
;
Zeng, Huanqiang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/07/25
Image resolution
Training
Feature extraction
Spatial resolution
Proposals
Internet of Things
Deep learning
Deep learning
image representation
multiresolution
vehicle reidentification
Meta-learning meets the Internet of Things: Graph prototypical models for sensor-based human activity recognition
期刊论文
INFORMATION FUSION, 2022, 卷号: 80, 页码: 1-22
作者:
Zheng, Wenbo
;
Yan, Lan
;
Gou, Chao
;
Wang, Fei-Yue
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  |  
浏览/下载:38/0
  |  
提交时间:2022/01/27
Meta-learning
Internet of Things
Graph model
Attention mechanisms
Detection Methods in Smart Meters for Electricity Thefts: A Survey
期刊论文
PROCEEDINGS OF THE IEEE, 2022, 页码: 1-47
作者:
Xia XF(夏小芳)
;
Xiao Y(肖杨)
;
Liang W(梁炜)
;
Cui JT(崔江涛)
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/02/04
Power systems
Companies
Meters
Smart grids
Meter reading
Electric variables measurement
Distribution networks
Binary trees
cyber-physical systems
detection methods
electricity theft
Internet of Things (IoT)
machine learning
measurement mismatch
security
smart grid
smart meters
Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous Sensors
期刊论文
ACM TRANSACTIONS ON SENSOR NETWORKS, 2021, 卷号: 17, 期号: 3, 页码: 28
作者:
Liang, Yunji
;
Wang, Xin
;
Yu, Zhiwen
;
Guo, Bin
;
Zheng, Xiaolong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/10
Energy efficiency
latent correlation learning
collaboration sensing
internet of things
temporal convolutional network
attention mechanism
multi-task learning
Evolving Container to Unikernel for Edge Computing and Applications in Process Industry
期刊论文
PROCESSES, 2021, 卷号: 9, 期号: 2, 页码: 18
作者:
Chen, Shichao
;
Zhou, Mengchu
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/03/29
big data analytics
lightweight virtualization
cloud computing
edge computing
industrial process
Industry 4.0
Internet of things
machine learning
process industry
fault diagnosis
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