software version 7.14 (r2012a) (MathWorks Inc)
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90
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MathWorks Inc
software version 7.14 (r2012a)
Software Version 7.14 (R2012a), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/version+7%2E14%2C+r2012a/10__1007_slash_s11227___022___04887___5-273-7-5
Average 90 stars, based on 1 article reviews
Software Version 7.14 (R2012a), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/version+7%2E14%2C+r2012a/10__1007_slash_s11227___022___04887___5-273-7-5
Average 90 stars, based on 1 article reviews
software version 7.14 (r2012a) - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Designing a robust feature extraction method based on optimum allocation and principal component analysis for epileptic EEG signal classification. Article Snippet: The aim of this study is to design a robust feature extraction method for the classification of multiclass EEG signals to determine valuable features from original epileptic EEG data and to discover an efficient classifier for the features.. An optimum allocation based principal component analysis method named as OA PCA is developed for the feature extraction from epileptic EEG data.. As EEG data from different channels are correlated and huge in number, the optimum allocation (OA) scheme is used to discover the most favorable representatives with minimal variability from a large number of EEG data. |