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classification of emotions using EEG signals with deep learning methods -- 2

1. Dataset: DEAP dataset

2. Convert 1D EEG to 2D images

Algorithm: using short time fourier transform (STFT) (output: spectrogram)

2. Classification using deep learning

a. Inception Resnet-V2 (link: [login to view URL])

b. DenseNet121 modified (link: [login to view URL])

Notes: looking for someone who has worked on EEG or signal processing projects

Beceriler: Python, Matlab ve Mathematica , Algoritma, Elektrik Mühendisliği, Matematik

Müşteri Hakkında:
( 7 değerlendirme ) Cilacap, Indonesia

Proje NO: #34026622

Seçilen:

AbdullahIqbal93

Hi. My background is in Signal Processing and Machine Learning. Will be able to develop deep nets as per the links you have shared. Will be using Python. Let me know if interested.

%selectedBids___i_period_sub_7% gün içinde 250%project_currencyDetails_sign_sub_9% %project_currencyDetails_code_sub_10%
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5.7

Bu iş için 33 freelancer ortalamada $582 teklif veriyor

loyidandrews

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hayteekeys

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sramireddy065

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Humayun491

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vorasiddh4it

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ruwaniwickramas8

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juhonkang

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shaojiang008

Hello, hope you are doing well. As an experienced python developer with 20 years of experience in Machine Learning and Signal Processing. Recently, I developed a program which analyze and classify EEG signal. And I've Daha Fazla

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alamineee

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$750 USD in 3 gün içinde
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IdealExpert

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mapsbox

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chuanzhelin

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$600 USD in 3 gün içinde
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mandionisio154

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mr2944922

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