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Fast and Progressive Misbehavior Detection in Internet of Vehicles Based on Broad Learning and Incremental Learning Systems
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 6, 页码: 4788-4798
作者:
Wang, Xiao
;
Zhu, Yushan
;
Han, Shuangshuang
;
Yang, Linyao
;
Gu, Haixia
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/06
Convolutional neural networks
Feature extraction
Machine learning algorithms
Deep learning
Global Positioning System
Scalability
Safety
Broad learning system (BLS)
incremental learning system
Internet of Vehicles (IoV)
misbehavior detection
ridge regression approximation
Gated Broad Learning System Based on Deep Cascaded for Soft Sensor Modeling of Industrial Process
期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71
作者:
Mou, Miao
;
Zhao, Xiaoqiang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/06/20
Data mining
Deep learning
Extraction
Broad learning system
Deep learning
Feature nodes
Features extraction
Gated neuron
Industrial processs
Loss measurement
Soft sensors
A novel entropy-based method to quantify forest canopy structural complexity from multiplatform lidar point clouds
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 282
作者:
Liu, Xiaoqiang
;
Ma, Qin
;
Wu, Xiaoyong
;
Hu, Tianyu
;
Liu, Zhonghua
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/03/07
Forest canopy structural complexity
Entropy
Multiplatform lidar point clouds
Mann-Kendall test
Kernel density estimation
基于压缩因子的宽度学习系统的虚拟机性能预测
期刊论文
自动化学报, 2022, 卷号: 48, 期号: 3, 页码: 724-734
作者:
邹伟东
;
夏元清
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  |  
浏览/下载:0/0
  |  
提交时间:2024/05/20
虚拟机性能预测
宽度学习系统
压缩因子
网络收敛速度
泛化性能
Comparative Metagenomics of the Active Layer and Permafrost from Low-Carbon Soil in the Canadian High Arctic
期刊论文
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 卷号: 55, 期号: 18, 页码: 12683-12693
作者:
Wu, Xiaofen
;
Chauhan, Archana
;
Layton, Alice C.
;
Vetter, Maggie C. Y. Lau
;
Stackhouse, Brandon T.
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  |  
浏览/下载:55/0
  |  
提交时间:2021/11/16
Arctic
permafrost
active layer
16S rRNA
metagenome-assembled genome
metabolism
Broad Learning System Based on Maximum Correntropy Criterion
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097
作者:
Zheng, Yunfei
;
Chen, Badong
;
Wang, Shiyuan
;
Wang, Weiqun
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  |  
浏览/下载:77/0
  |  
提交时间:2021/08/15
Learning systems
Robustness
Standards
Optimization
Training
Perturbation methods
Mean square error methods
Broad learning system (BLS)
incremental learning algorithms
maximum correntropy criterion (MCC)
regression and classification
Research on Transfer Learning of Vision-based Gesture Recognition
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 422-431
作者:
Bi-Xiao Wu
;
Chen-Guang Yang
;
Jun-Pei Zhong
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  |  
浏览/下载:52/0
  |  
提交时间:2021/05/24
Transfer learning
gesture recognition
red-green-blue (RGB) Camera
Leap Motion
joint distribution adaptation (JDA)
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3017-3031
作者:
Chu, Fei
;
Liang, Tao
;
Chen, C. L. Philip
;
Wang, Xuesong
;
Ma, Xiaoping
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2020/09/07
Learning systems
Training
Heuristic algorithms
Neural networks
Automation
Process control
Control engineering
Broad learning system (BLS)
incremental learning algorithm
noise and outliers
weighted penalty factor
Design of defected TaN supercells dataset for structural and elastic properties from ab initio simulations and comparison to experimental data.
期刊论文
Data in brief, 2020, 卷号: 30, 页码: 105411-105411
作者:
Li, Chen-Hui
;
Abadias, Gregory
;
Belliard, Laurent
;
Hu, Qing Miao
;
Greneche, Nicolas
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  |  
浏览/下载:11/0
  |  
提交时间:2021/02/03
Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 2152-2165
作者:
Chen, Zhihua
;
Gao, Ting
;
Sheng, Bin
;
Li, Ping
;
Chen, C. L. Philip
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/06/22
Lighting
Sun
Estimation
Learning systems
Feature extraction
Neural networks
Classification algorithms
Broad learning system (BLS)
illumination estimating
Markov random field (MRF)
multiclass integrating
shadow synthesis
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