deep learning project for feature extraction of ECG signals for arrhythmia detection

Κλειστό Αναρτήθηκε Πριν 5 χρόνια Πληρώθηκε κατά την παράδοση
Κλειστό Πληρώθηκε κατά την παράδοση

I want project based on deep learning project which extract the features from ECG signals and based on those feature diagnosis arrhythmia from the [login to view URL] I want the technical paper based on that it should be unique and technical sound good in every aspects .Further more ,the worker should be in touch until my paper get acceptance in any fast publishing ISI based journal i will send by my own and when i get revision worker will help me to provide all revisions .

The final delivery will be

The code based on matlab

The technical paper

The revision of paper if the paper is accepted

Αλγόριθμος Ηλεκτρική μηχανολογία Μηχανολογία Μαθηματικά Matlab and Mathematica

Ταυτότητα Εργασίας: #18234807

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6 προτάσεις Απομακρυσμένη εργασία Ενεργό Πριν 5 χρόνια

6 freelancers κάνουν προσφορές κατά μέσο όρο $254 για αυτή τη δουλειά

uzairrzahid

I have used google colaboratory for many projects. Hi. My name is Uzair.I did my masters in Electrical Engineering. I have done my thesis in biomedical signal processing and Machine learning. I have more than 3 yea Περισσότερα

$155 USD σε 3 μέρες
(71 Αξιολογήσεις)
6.2
softechinfinites

Hello, I have 5+ years experience in Algorithm, Electrical Engineering, Engineering, Mathematics, Matlab and Mathematica and can perform deep learning along with writing technical paper. GUARANTEED UNIQUE AND PLAGIAR Περισσότερα

$250 USD σε 3 μέρες
(8 Αξιολογήσεις)
4.2
enlightenwritin1

Hello Sir, I can provide best quality work to you as per your requirements basis. please send me a message once. Thanks

$155 USD σε 3 μέρες
(5 Αξιολογήσεις)
3.4
Mayurisalgat13

Hello, I've a vast experience in Algorithm, Electrical Engineering, Engineering, Mathematics, Matlab and Mathematics. I read through the job details extremely carefully and I am absolutely sure that I can do the pro Περισσότερα

$655 USD σε 20 μέρες
(0 Αξιολογήσεις)
0.0