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山东大学 [6]
江苏大学 [3]
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西安交通大学 [1]
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期刊论文 [18]
会议论文 [1]
发表日期
2019 [19]
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Experimental Analysis on Weight K-Nearest Neighbor Indoor Fingerprint Positioning
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2019, 卷号: 6, 页码: 891-897
作者:
Hu, Jiusong
;
Liu, Dawei
;
Yan, Zhi
;
Liu, Hongli
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/19
weighted K-nearest neighbor (WKNN)
WiFi
indoor location
Fingerprint
WLAN indoor positioning based on D-LDA feature extraction algorithm
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 463, 页码: 2779-2787
作者:
Yu, J.
;
Deng, Z.
;
Liu, X.
;
Chen, J.
;
Na, Z.
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  |  
浏览/下载:19/0
  |  
提交时间:2019/12/02
Database systems
Discriminant analysis
Eigenvalues and eigenfunctions
Extraction
Feature extraction
Indoor positioning systems
Maximum likelihood
Nearest neighbor search
Wireless local area networks (WLAN), Direct linear discriminant analysis
Feature database
Feature extraction algorithms
Localization algorithm
Positioning accuracy
Weighted k-nearest neighbors
WLAN
Wlan indoor positioning, Signal processing
Ultra-short term wind speed prediction based on spatial correlation by k-nearest neighbor
期刊论文
Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2019, 卷号: Vol.39 No.3, 页码: 175-181
作者:
Yang, Z.
;
Zhao, Q.
;
Wu, B.
;
Hou, J.
;
Chen, X.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/21
Historical observations
K-nearest neighbor
Spatial correlation
Ultra-short term
Wind speed prediction
Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs
期刊论文
CURRENT DRUG TARGETS, 2019, 卷号: 20, 页码: 488-500
作者:
Hu, Yan[1]
;
Lu, Yi[2]
;
Wang, Shuo[3]
;
Zhang, Mengying[4]
;
Qu, Xiaosheng[5]
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2019/04/22
Machine learning (ML)
anticancer drugs
linear discriminant analysis (LDA)
principal components analysis (PCA)
support vector machine (SVM)
random forest (RF)
k-nearest neighbor (kNN)
naive bayes (NB)
deep learning
web servers
Locality constrained representation-based K-nearest neighbor classification
期刊论文
Knowledge-Based Systems, 2019
作者:
Jianping Gou
;
Wenmo Qiu
;
Zhang Yi
;
Xiangjun Shen
;
Yongzhao Zhan
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/02/25
K-nearest
neighbor
rule
Local
mean
vector
Representation-based
distance
Pattern
recognition
A novel WiFi indoor positioning strategy based on weighted squared Euclidean distance and local principal gradient direction
期刊论文
SENSOR REVIEW, 2019, 卷号: 39, 期号: 1
作者:
Zhang, Wei
;
Hua, Xianghong
;
Yu, Kegen
;
Qiu, Weining
;
Zhang, Shoujian
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
Received signal strength
Weighted k nearest neighbor
WiFi indoor positioning
Local principal gradient direction
Weighted squared Euclidean distance
Experimental Analysis on Weight ${K}$ -Nearest Neighbor Indoor Fingerprint Positioning
期刊论文
IEEE Internet of Things Journal, 2019, 卷号: Vol.6 No.1, 页码: 891-897
作者:
Jiusong Hu
;
Dawei Liu
;
Zhi Yan
;
Hongli Liu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/13
Wireless fidelity
Heuristic algorithms
Internet of Things
Buildings
Global Positioning System
Hardware
Fingerprint recognition
Fingerprint
indoor location
weighted K-nearest neighbor (WKNN)
WiFi
EEG-Based Mild Depressive Detection Using Differential Evolution
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 7814-7822
作者:
Li, Yalin
;
Hu, Bin
;
Zheng, Xiangwei
;
Li, Xiaowei
收藏
  |  
浏览/下载:117/0
  |  
提交时间:2019/12/11
Mild depression
electroencephalogram
feature optimization
differential evolution
k-nearest neighbor
Fault Diagnosis of Rolling Bearings Based on Undirected Weighted Graph
期刊论文
Proceedings - 2019 Prognostics and System Health Management Conference, PHM-Paris 2019, 2019, 页码: 30-34
作者:
Wang, Teng
;
Lu, Guoliang
;
Yan, Peng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Bearing fault diagnosis
Graph model
K-Nearest Neighbor
Periodogram
A gesture interaction system based on improved finger feature and WE-KNN
期刊论文
ACM International Conference Proceeding Series, 2019, 页码: 39-43
作者:
Li, Feifei
;
Li, Yujun
;
Du, Baozhen
;
Xu, Hongji
;
Xiong, Hailiang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/11
Feature extraction
Gesture recognition
K-nearest neighbor classifier based on entropy-weight allocation
Virtual interaction
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