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Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 52-62
作者:
Ramashini Murugaiya
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浏览/下载:235/0
  |  
提交时间:2022/01/25
Bird sounds
classification
Gammatone frequency cepstral coefficient (GTCC)
probability enhanced entropy (PEE)
support vector machine (SVM)
Probability Enhanced Entropy (PEE) Novel Feature for Improved Bird Sound Classification
期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 52-62
作者:
Ramashini Murugaiya
;
Pg Emeroylariffion Abas
;
Liyanage Chandratilak De Silva
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/23
Bird sounds
classification
Gammatone frequency cepstral coefficient (GTCC)
probability enhanced entropy (PEE)
support vector machine (SVM)
Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:
Gao, Yuhang
;
Si, Juanning
;
Wu, Sijin
;
Li, Weixian
;
Liu, Hao
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  |  
浏览/下载:233/0
  |  
提交时间:2022/02/16
steady-state visual evoked potential (SSVEP)
brain-computer interface (BCI)
l1-regularized multiway canonical correlation analysis (L1-MCCA)
support vector machine (SVM)
particle swarm optimization (PSO)
Remote Sensing Image Classification with a Graph-Based Pre-Trained Neighborhood Spatial Relationship
期刊论文
SENSORS, 2021, 卷号: 21, 期号: 16, 页码: 28
作者:
Guan, Xudong
;
Huang, Chong
;
Yang, Juan
;
Li, Ainong
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  |  
浏览/下载:227/0
  |  
提交时间:2021/11/05
remote sensing
image classification
SVM (Support Vector Machine)
knowledge graph
object-based image analysis
fuzzy classification
graph theory
Remote Sensing Image Classification with a Graph-Based Pre-Trained Neighborhood Spatial Relationship
期刊论文
SENSORS, 2021, 卷号: 21, 期号: 16, 页码: 28
作者:
Guan, Xudong
;
Huang, Chong
;
Yang, Juan
;
Li, Ainong
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  |  
浏览/下载:248/0
  |  
提交时间:2021/12/14
remote sensing
image classification
SVM (Support Vector Machine)
knowledge graph
object-based image analysis
fuzzy classification
graph theory
Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model
期刊论文
CATENA, 2021, 卷号: 202, 页码: 10
作者:
Zhou, Wei
;
Yang, Han
;
Xie, Lijuan
;
Li, Haoran
;
Huang, Lu
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  |  
浏览/下载:292/0
  |  
提交时间:2021/07/09
Soil heavy metal
Hyperspectral
Random forest model (RF)
Support vector machine (SVM)
Three-River Source Region
Identification and classification of driving behaviour at a signalized intersection using support vector machine
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 480-491
作者:
Soni Lanka Karri
;
Liyanage Chandratilak De Silva
;
Daphne Teck Ching Lai
;
Shiaw Yin Yong
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  |  
浏览/下载:14/0
  |  
提交时间:2021/05/24
Signalized intersection
driving behaviour
machine learning
support vector machine (SVM)
road accidents
Research on Fault Diagnosis Method of Rod Pumping Wells Based on CNN_APRCSO_SVM
会议论文
Chicago, May 26-28, 2021
作者:
Wang MX(王明新)
;
Zang CZ(臧传治)
;
Ji ZP(纪振平)
;
He YP(贺云鹏)
;
Zeng P(曾鹏)
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  |  
浏览/下载:10/0
  |  
提交时间:2021/08/21
Rod pumping well
Fault diagnosis
Indicator diagrams
Convolutional neural network (CNN)
Support vector machine (SVM)
Chicken swarm optimization (CSO)
Algorithm optimization
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent
期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2020, 卷号: 8, 页码: 14
作者:
Li, Qiong
;
Gao, Jianbo
;
Huang, Qi
;
Wu, Yuan
;
Xu, Bo
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/01/07
EEG
epileptiform discharges
power spectral density (PSD)
scale-dependent Lyapunov exponent (SDLE)
random forest classifier
support vector machine (SVM)
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 790-799
作者:
Hao Zhang
;
Yongdan Li
;
Zhihan Lv
;
Arun Kumar Sangaiah
;
Tao Huang
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/03/11
Deep belief network (DBN)
flow calculation
frequent pattern
intrusion detection
sliding window
support vector machine (SVM)
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