Combination of Acoustic and Vibration Sensor Data Using Support Vector Machines and One-Versus-All Technique Data Fusion for Detecting Objects

Proceedings of the 2020 12th International Conference on Computer and Automation Engineering ◽

10.1145/3384613.3384626 ◽

2020 ◽

Author(s):

Analyn N. Yumang ◽

Geriel Angelo Cruz ◽

Llanz Adeo Fontanilla

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Vibration Sensor ◽

Sensor Data ◽

Support Vector ◽

Vector Machines

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Heterogeneous Multi-Sensor Data Fusion with Multi-Class Support Vector Machines: Creating Network Security Situation Awareness

2007 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2007.4370604 ◽

2007 ◽

Cited By ~ 2

Author(s):

Xiao-Wu Liu ◽

Hui-Qiang Wang ◽

Ying Liang ◽

Ji-Bao Lai

Keyword(s):

Support Vector Machines ◽

Network Security ◽

Data Fusion ◽

Situation Awareness ◽

Sensor Data ◽

Support Vector ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

Vector Machines

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Distributed data fusion using support vector machines

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) ◽

10.1109/icif.2002.1020902 ◽

2003 ◽

Cited By ~ 15

Author(s):

S. Challa ◽

M. Palaniswami ◽

A. Shilton

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Support Vector ◽

Distributed Data ◽

Vector Machines ◽

Distributed Data Fusion

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Ultrasonic level sensors for flowmetering of non-Newtonian fluids in open Venturi channels: Using data fusion based on Artificial Neural Network and Support Vector Machines

2016 IEEE Sensors Applications Symposium (SAS) ◽

10.1109/sas.2016.7479829 ◽

2016 ◽

Cited By ~ 6

Author(s):

Khim Chhantyal ◽

Hakon Viumdal ◽

Saba Mylvaganam ◽

Geir Elseth

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Support Vector Machines ◽

Data Fusion ◽

Newtonian Fluids ◽

Support Vector ◽

Vector Machines ◽

Artificial Neural ◽

Using Data ◽

Level Sensors

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A Solar Power Prediction Using Support Vector Machines Based on Multi-source Data Fusion

2018 International Conference on Power System Technology (POWERCON) ◽

10.1109/powercon.2018.8601672 ◽

2018 ◽

Cited By ~ 2

Author(s):

Wang Buwei ◽

Che Jianfeng ◽

Wang Bo ◽

Feng Shuanglei

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Solar Power ◽

Support Vector ◽

Power Prediction ◽

Vector Machines ◽

Source Data

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Improvement of the prediction ability of multivariate calibration by a method based on the combination of data fusion and least squares support vector machines

The Analyst ◽

10.1039/c0an00433b ◽

2011 ◽

Vol 136 (6) ◽

pp. 1252 ◽

Cited By ~ 8

Author(s):

Shouxin Ren ◽

Ling Gao

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Least Squares ◽

Multivariate Calibration ◽

Support Vector ◽

Prediction Ability ◽

Vector Machines

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Data Fusion and Multi-fault Classification Based On Support Vector Machines

Proceedings of the 9th Joint Conference on Information Sciences (JCIS) ◽

10.2991/jcis.2006.265 ◽

2006 ◽

Cited By ~ 1

Author(s):

Guohua Gao ◽

Yongzhong ZHANG ◽

Yu ZHU ◽

Guanghuang DUAN

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Fault Classification ◽

Support Vector ◽

Vector Machines

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Multiclass Support Vector Machines Theory and Its Data Fusion Application in Network Security Situation Awareness

2007 International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2007.1557 ◽

2007 ◽

Cited By ~ 3

Author(s):

Xiaowu Liu ◽

Huiqiang Wang ◽

Jibao Lai ◽

Ying Liang ◽

Chunmei Yang

Keyword(s):

Support Vector Machines ◽

Network Security ◽

Data Fusion ◽

Situation Awareness ◽

Support Vector ◽

Vector Machines ◽

Multiclass Support Vector Machines

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Kernel-based support vector machines for automated health status assessment in monitoring sensor data

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-017-1204-2 ◽

2017 ◽

Vol 95 (1-4) ◽

pp. 327-340 ◽

Cited By ~ 7

Author(s):

Alberto Diez-Olivan ◽

Jose A. Pagan ◽

Nguyen Lu Dang Khoa ◽

Ricardo Sanz ◽

Basilio Sierra

Keyword(s):

Health Status ◽

Support Vector Machines ◽

Sensor Data ◽

Support Vector ◽

Health Status Assessment ◽

Vector Machines ◽

Status Assessment

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An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion

Neurocomputing ◽

10.1016/j.neucom.2014.08.086 ◽

2015 ◽

Vol 163 ◽

pp. 17-24 ◽

Cited By ~ 14

Author(s):

Jorge García-Gutiérrez ◽

Daniel Mateos-García ◽

Mariano Garcia ◽

José C. Riquelme-Santos

Keyword(s):

Support Vector Machines ◽

Data Fusion ◽

Majority Voting ◽

Support Vector ◽

Weighted Majority ◽

Vector Machines ◽

Weighted Majority Voting ◽

Imagery Data

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LigSeeSVM: Ligand-based virtual Screening using Support Vector Machines and data fusion

International Journal of Computational Biology and Drug Design ◽

10.1504/ijcbdd.2011.041415 ◽

2011 ◽

Vol 4 (3) ◽

pp. 274 ◽

Cited By ~ 1

Author(s):

Yen Fu Chen ◽

Kai Cheng Hsu ◽

Po Tsun Lin ◽

D. Frank Hsu ◽

Bruce S. Kristal ◽

...

Keyword(s):

Support Vector Machines ◽

Virtual Screening ◽

Data Fusion ◽

Support Vector ◽

Vector Machines

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