Military vehicle classification via acoustic and seismic signals using statistical learning methods
10.1142/S0129183106008789
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sg-nus-scholar.10635-1061512023-09-21T22:09:43Z Military vehicle classification via acoustic and seismic signals using statistical learning methods Xiao, H. Cai, C. Chen, Y. PHARMACY KNN Military vehicle Principal component analysis Short Time Fourier Transform Support vector machine 10.1142/S0129183106008789 International Journal of Modern Physics C 17 2 197-212 2014-10-29T01:55:46Z 2014-10-29T01:55:46Z 2006-02 Article Xiao, H., Cai, C., Chen, Y. (2006-02). Military vehicle classification via acoustic and seismic signals using statistical learning methods. International Journal of Modern Physics C 17 (2) : 197-212. ScholarBank@NUS Repository. https://doi.org/10.1142/S0129183106008789 01291831 http://scholarbank.nus.edu.sg/handle/10635/106151 000237364600004 Scopus |
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KNN Military vehicle Principal component analysis Short Time Fourier Transform Support vector machine |
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KNN Military vehicle Principal component analysis Short Time Fourier Transform Support vector machine Xiao, H. Cai, C. Chen, Y. Military vehicle classification via acoustic and seismic signals using statistical learning methods |
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10.1142/S0129183106008789 |
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PHARMACY |
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PHARMACY Xiao, H. Cai, C. Chen, Y. |
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Xiao, H. Cai, C. Chen, Y. |
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Xiao, H. |
title |
Military vehicle classification via acoustic and seismic signals using statistical learning methods |
title_short |
Military vehicle classification via acoustic and seismic signals using statistical learning methods |
title_full |
Military vehicle classification via acoustic and seismic signals using statistical learning methods |
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Military vehicle classification via acoustic and seismic signals using statistical learning methods |
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Military vehicle classification via acoustic and seismic signals using statistical learning methods |
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military vehicle classification via acoustic and seismic signals using statistical learning methods |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/106151 |
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