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Detecting false data in the measurement

Hello

I have set on power measurements 27 columns 14 voltage magnitude and 13 columns phase angle column 28 is the measurement class where 1 is attacked measurements and -1 is normal measurements i want to use machine learning unsupervised learning (fuzzy c mean clustering) and supervised learning Recurrent neural network to detect the attack and find the accuracy, recall and precision for the detection model

Kemahiran: Matlab and Mathematica, Python

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( 0 ulasan ) Florence, United States

ID Projek: #19222966

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mza5ab8dc9be9a8c

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wangbeizou

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muller1998926

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suraj12291

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